Cone Trees: animated 3D visualizations of hierarchical information
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Tree visualization with tree-maps: 2-d space-filling approach
ACM Transactions on Graphics (TOG)
Value bars: an information visualization and navigation tool for multi-attribute listings
CHI '92 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Dynamic queries for information exploration: an implementation and evaluation
CHI '92 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Laying out and visualizing large trees using a hyperbolic space
UIST '94 Proceedings of the 7th annual ACM symposium on User interface software and technology
A focus+context technique based on hyperbolic geometry for visualizing large hierarchies
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Graph Drawing: Algorithms for the Visualization of Graphs
Graph Drawing: Algorithms for the Visualization of Graphs
Designing Pixel-Oriented Visualization Techniques: Theory and Applications
IEEE Transactions on Visualization and Computer Graphics
VisDB: Database Exploration Using Multidimensional Visualization
IEEE Computer Graphics and Applications
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
Research report: DataSpace: 3-D visualizations of large databases
INFOVIS '95 Proceedings of the 1995 IEEE Symposium on Information Visualization
A Java-Based Visual Mining Infrastructure and Applications
INFOVIS '99 Proceedings of the 1999 IEEE Symposium on Information Visualization
INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
Pixel bar charts: a visualization technique for very large multi-attribute data sets
Information Visualization
Exploring N-dimensional databases
VIS '90 Proceedings of the 1st conference on Visualization '90
Shape coding of multidimensional data on a microcomputer display
VIS '90 Proceedings of the 1st conference on Visualization '90
Parallel coordinates: a tool for visualizing multi-dimensional geometry
VIS '90 Proceedings of the 1st conference on Visualization '90
Interactive data visualization using focusing and linking
VIS '91 Proceedings of the 2nd conference on Visualization '91
A Visualization System for Space-Time and Multivariate Patterns (VIS-STAMP)
IEEE Transactions on Visualization and Computer Graphics
Visualizing Business Data with Generalized Treemaps
IEEE Transactions on Visualization and Computer Graphics
Visual Analysis of the Air Pollution Problem in Hong Kong
IEEE Transactions on Visualization and Computer Graphics
DataJewel: Integrating Visualization with Temporal Data Mining
Visual Data Mining
Analysis and Interpretation of Visual Hierarchical Heavy Hitters of Binary Relations
ADBIS '08 Proceedings of the 12th East European conference on Advances in Databases and Information Systems
VoxelBars: An Informative Interface for Volume Visualization
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Client-Side Visualization of Internet Forums for Information Retrieval
Proceedings of the 13th International Conference on Human-Computer Interaction. Part IV: Interacting in Various Application Domains
Visualization for the Physical Sciences
Computer Graphics Forum
Exploring hierarchical multidimensional data with unified views of distribution and correlation
Journal of Visual Languages and Computing
A fractal-based 2D expansion method for multi-scale volume data visualization
Journal of Visualization
| Hi-index | 0.00 |
Simple presentation graphics are intuitive and easy-to-use, but only show highly aggregated data. Bar charts, for example, only show a rather small number of data values and x-y-plots often have a high degree of overlap. Presentation techniques are often chosen depending on the considered data type--bar charts, for example, are used for categorical data and x-y plots are used for numerical data. In this article, we propose a combination of traditional bar charts and x-y-plots, which allows the visualization of large amounts of data with categorical and numerical data. The categorical data dimensions are used for the partitioning into the bars and the numerical data dimensions are used for the ordering arrangement within the bars. The basic idea is to use the pixels within the bars to present the detailed information of the data records. Our so-called pixel bar charts retain the intuitiveness of traditional bar charts while applying the principle of x-y charts within the bars. In many applications, a natural hierarchy is defined on the categorical data dimensions such as time, region, or product type. In hierarchical pixel bar charts, the hierarchy is exploited to split the bars for selected portions of the hierarchy. Our application to a number of real-world e-business and Web services data sets shows the wide applicability and usefulness of our new idea.