Online Collaborative Visualization

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Presentation transcript:

Online Collaborative Visualization CSC4730/6730 Scientific Visualization Online Collaborative Visualization Lecture 19 Ying Zhu Georgia State University

The concept Upload data sets to a web site Create visualizations online Share with others

Motivations Scale to larger audience Part of the Web 2.0 trend Online sharing and collaboration Enable end-user creation of visualization Foster large scale collaborative usage Part of the cloud computing trend No need to install any software No need to maintain local copy Accessible from anywhere

Online collaborative visualization Where does it fit into the visualization development spectrum? Three ways to build a data visualization Programming: Java/C#, Flash, or Processing (www.processing.org) Scripting (light weight programming): Mathematica, MatLab, etc. Point & Click: Tableau, Spotfire, etc. Online collaborative visualization

Notable web sites Many Eyes Swivel Data360 DabbleDB http://manyeyes.alphaworks.ibm.com/manyeyes/ Swivel http://business.swivel.com/ Data360 http://www.data360.org/ DabbleDB http://dabbledb.com/

Major components Data collection and manipulation Data visualization construction Social aspects of collaborative analysis Commenting Sharing Perment URL (for bookmarking) Snap shots

Demonstrations

Discussion Data model Visualization Mostly table based data sets Basic chart types: bar chart, line plot, pie chart, scatter plot, etc. Many Eyes offers more and fancier chart types

Discussion User interactions Social interactions Selecting chart types Sorting, data filtering, etc. Tooltip, color palette, etc. Social interactions Lively comments and discussions?

Discussion The trend and pattern: Is this the future of data visualization? How many people are using it? Who are using it? For what? What percentage of the users are really active? What percentage are just casual users? Are there lively discussions?

Discussion How does the usage look like over time? How many data visualizations are created for each time period? Any patterns in the usage data? What kind of visualization attract people more? Why?

Summary Online data sharing and visualization is a recent phenomenon Part of the larger trend of Web 2.0 and cloud computing The collaborative aspect of the online visualization is still not fully developed Compare to other collaborative platform like Wikipedia, Flickr, etc.

References A comparison of Swivel and Many Eyes (written in 2007) F. Viegas, et al. “Many Eyes: A Site for Visualization at Internet Scale,” IEEE Symposium on Information Visualization 2007 http://www.research.ibm.com/visual/papers/viegasinfovis07.pdf A comparison of Swivel and Many Eyes (written in 2007) http://eagereyes.org/VisCrit/Swivel-vs-Many-Eyes.html