Automating the design of graphical presentations of relational information
ACM Transactions on Graphics (TOG)
Data characterization for intelligent graphics presentation
CHI '90 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Things that make us smart: defending human attributes in the age of the machine
Things that make us smart: defending human attributes in the age of the machine
Automating the design of graphical presentations of relational information
Readings in information visualization
Polaris: A System for Query, Analysis, and Visualization of Multidimensional Relational Databases
IEEE Transactions on Visualization and Computer Graphics
Top Scientific Visualization Research Problems
IEEE Computer Graphics and Applications
MashMaker: mashups for the masses
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Mashup Advisor: A Recommendation Tool for Mashup Development
ICWS '08 Proceedings of the 2008 IEEE International Conference on Web Services
VisGets: Coordinated Visualizations for Web-based Information Exploration and Discovery
IEEE Transactions on Visualization and Computer Graphics
Behavior-driven visualization recommendation
Proceedings of the 14th international conference on Intelligent user interfaces
MatchUp: Autocompletion for Mashups
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Database-as-a-service for long-tail science
SSDBM'11 Proceedings of the 23rd international conference on Scientific and statistical database management
Building blocks for exploratory data analysis tools
Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics
| Hi-index | 0.00 |
We present VizDeck, a web-based tool for exploratory visual analytics of unorganized relational data. Motivated by collaborations with domain scientists who search for complex patterns in hundreds of data sources simultaneously, VizDeck automatically recommends appropriate visualizations based on the statistical properties of the data and adopts a card game metaphor to help organize the recommended visualizations into interactive visual dashboard applications in seconds with zero programming. The demonstration allows users to derive, share, and permanently store their own dashboard from hundreds of real science datasets using a production system deployed at the University of Washington.