Visual information seeking: tight coupling of dynamic query filters with starfield displays
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Materialized views: techniques, implementations, and applications
Materialized views: techniques, implementations, and applications
The Psychology of Human-Computer Interaction
The Psychology of Human-Computer Interaction
The Information Mural: A Technique for Displaying and Navigating Large Information Spaces
IEEE Transactions on Visualization and Computer Graphics
Designing Pixel-Oriented Visualization Techniques: Theory and Applications
IEEE Transactions on Visualization and Computer Graphics
Visualizing Multivariate Functions, Data, and Distributions
IEEE Computer Graphics and Applications
Prefetching for Visual Data Exploration
DASFAA '03 Proceedings of the Eighth International Conference on Database Systems for Advanced Applications
Interactive Information Visualization of a Million Items
INFOVIS '02 Proceedings of the IEEE Symposium on Information Visualization (InfoVis'02)
Field Guide to Digital Color
Clutter Reduction in Multi-Dimensional Data Visualization Using Dimension Reordering
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Revealing Structure within Clustered Parallel Coordinates Displays
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
Give chance a chance: modeling density to enhance scatter plot quality through random data sampling
Information Visualization
Outlier-Preserving Focus+Context Visualization in Parallel Coordinates
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)
Hotmap: Looking at Geographic Attention
IEEE Transactions on Visualization and Computer Graphics
High performance multivariate visual data exploration for extremely large data
Proceedings of the 2008 ACM/IEEE conference on Supercomputing
IEEE Transactions on Visualization and Computer Graphics
A Multi-Threading Architecture to Support Interactive Visual Exploration
IEEE Transactions on Visualization and Computer Graphics
Hierarchical Aggregation for Information Visualization: Overview, Techniques, and Design Guidelines
IEEE Transactions on Visualization and Computer Graphics
Crowdsourcing graphical perception: using mechanical turk to assess visualization design
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Declarative Language Design for Interactive Visualization
IEEE Transactions on Visualization and Computer Graphics
Intelligently resolving point occlusion
INFOVIS'03 Proceedings of the Ninth annual IEEE conference on Information visualization
Information Visualization
Friendship and mobility: user movement in location-based social networks
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
IEEE Transactions on Visualization and Computer Graphics
Interactive Dynamics for Visual Analysis
Queue - Micoprocessors
Trust me, i'm partially right: incremental visualization lets analysts explore large datasets faster
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Efficient spatial sampling of large geographical tables
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
GraphPrism: compact visualization of network structure
Proceedings of the International Working Conference on Advanced Visual Interfaces
Profiler: integrated statistical analysis and visualization for data quality assessment
Proceedings of the International Working Conference on Advanced Visual Interfaces
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Data analysts must make sense of increasingly large data sets, sometimes with billions or more records. We present methods for interactive visualization of big data, following the principle that perceptual and interactive scalability should be limited by the chosen resolution of the visualized data, not the number of records. We first describe a design space of scalable visual summaries that use data reduction methods (such as binned aggregation or sampling) to visualize a variety of data types. We then contribute methods for interactive querying (e.g., brushing & linking) among binned plots through a combination of multivariate data tiles and parallel query processing. We implement our techniques in imMens, a browser-based visual analysis system that uses WebGL for data processing and rendering on the GPU. In benchmarks imMens sustains 50 frames-per-second brushing & linking among dozens of visualizations, with invariant performance on data sizes ranging from thousands to billions of records.