Online aggregation and continuous query support in MapReduce
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Visualizing gene co-expression as google maps
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part III
YouPivot: improving recall with contextual search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
LifeFlow: visualizing an overview of event sequences
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
ConsiderIt: improving structured public deliberation
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Context stamp: a topic-based content abstraction for visual concordance analysis
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Visualization of multi-domain ranked data
Search computing
Visualizing the complexity of the United States code
Proceedings of the 49th Annual Southeast Regional Conference
Protoviewer: a web-based visual design environment for Protovis
ACM SIGGRAPH 2011 Posters
ReVision: automated classification, analysis and redesign of chart images
Proceedings of the 24th annual ACM symposium on User interface software and technology
Connecting the dots: a multi-pivot approach to data exploration
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
Interactive Dynamics for Visual Analysis
Queue - Micoprocessors
Understanding the verbal language and structure of end-user descriptions of data visualizations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A web-enabled visualization toolkit for geovisual analytics
Information Visualization - Special issue on Visualization and Data Analysis 2011
Towards a one-stop-shop for analysis, transformation and visualization of software
SLE'11 Proceedings of the 4th international conference on Software Language Engineering
Navigating tomorrow's web: From searching and browsing to visual exploration
ACM Transactions on the Web (TWEB)
C4: a creative-coding API for media, interaction and animation
Proceedings of the 7th International Conference on Tangible, Embedded and Embodied Interaction
Visualization tools for open government data
Proceedings of the 14th Annual International Conference on Digital Government Research
Towards RVL: a declarative language for visualizing RDFS/OWL data
Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
Creation of visualizations based on linked data
Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
Effects of visualization and note-taking on sensemaking and analysis
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Visual exploration of classification models for various data types in risk assessment
Information Visualization - Special issue on Best Papers of Visual Analytics Science and Technology (VAST) 2010
Sistema de recomendação para apoiar a construção de gráficos com dados estatísticos
Proceedings of the 12th Brazilian Symposium on Human Factors in Computing Systems
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Despite myriad tools for visualizing data, there remains a gap between the notational efficiency of high-level visualization systems and the expressiveness and accessibility of low-level graphical systems. Powerful visualization systems may be inflexible or impose abstractions foreign to visual thinking, while graphical systems such as rendering APIs and vector-based drawing programs are tedious for complex work. We argue that an easy-to-use graphical system tailored for visualization is needed. In response, we contribute Protovis, an extensible toolkit for constructing visualizations by composing simple graphical primitives. In Protovis, designers specify visualizations as a hierarchy of marks with visual properties defined as functions of data. This representation achieves a level of expressiveness comparable to low-level graphics systems, while improving efficiency--the effort required to specify a visualization--and accessibility--the effort required to learn and modify the representation. We substantiate this claim through a diverse collection of examples and comparative analysis with popular visualization tools.