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EuroVis 2013 conference presentation of the ExPlates data-flow system for multidimensional visualization.
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›› ExPlates ›› PivotLab ›› PurdueUniversity
›› ExPlatesSpatializing Interactive Analysis to
Scaffold Visual ExplorationWaqas Javed
Niklas ElmqvistPurdue UniversityWest Lafayette, IN, USA
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›› ExPlates ›› PivotLab ›› PurdueUniversity
››
Life is a journey, not a destination.
›› ExPlates ›› PivotLab ›› PurdueUniversity
››“Life is a journey, not a destination.”
― Ralph Waldo Emerson (1803-1882)
Visual
Exploratio
n
›› ExPlates ›› PivotLab ›› PurdueUniversity
››visual exploration [ˈvɪʒʊəl -zjʊ- ˌɛkspləˈreɪʃən],
n.using visualization to analyze data, often without
prior knowledge or questions about the data
›› ExPlates ›› PivotLab ›› PurdueUniversity
›› GOAL
» Support visual exploration by spatializing the interaction
» Time → Space
» Externalizes not just the data,but also the exploration process
›› ExPlates ›› PivotLab ›› PurdueUniversity
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PREVIEW
›› ExPlates ›› PivotLab ›› PurdueUniversity
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Why is this important?Why is this difficult?
›› ExPlates ›› PivotLab ›› PurdueUniversity
››» Perception: many views
yield high visual clutter
» Memory: rememberingpast choices and results
» Reasoning: synthesizing multipledisparate findings is difficult
›› ExPlates ›› PivotLab ›› PurdueUniversity
››
DUPLICATE ― NOT UPDATE!
›› ExPlates ›› PivotLab ›› PurdueUniversity
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Exploration Plates (ExPlates)
» Data-flow method for visualization that automatically spatializes interaction
Spatialize…
›› ExPlates ›› PivotLab ›› PurdueUniversity
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Plate Anatomy» Building block: exploration plate– Visualization state: data, mapping, view– Input and output ports (anchors)– Connected by wires
» Mutating ops create new plate(s)– Filtering, change visualization,
transforms
» Invariant ops update current plate– Color scale, viewport, formatting
›› ExPlates ›› PivotLab ›› PurdueUniversity
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Plate Types» Visualization plates: visual
representations of input data» Data plates: data transformations
from input to output» Annotation plates: add annotation
to specific locations on the canvas
›› ExPlates ›› PivotLab ›› PurdueUniversity
››Output anchors
Input anchors
Control area
Visualization area
Datawires
›› ExPlates ›› PivotLab ›› PurdueUniversity
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Canvas and Layout» Infinitely zoomable visual canvas–Mouse control + automatic operations
» Grid-based semi-automatic layout– Padding for data wires
» Two ways to create new plates–Manual (menu) or automatic
(spatializing)
›› ExPlates ›› PivotLab ›› PurdueUniversity
››
DEMO
›› ExPlates ›› PivotLab ›› PurdueUniversity
››
IMPLEMENTATION
›› ExPlates ›› PivotLab ›› PurdueUniversity
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Implementation» Web-based system (JavaScript +
SVG)» Google Data Source API– Google Docs (spreadsheets)– RSS/Atom feeds– XML files– CSV files
» Rendering: RaphaëlJS (raphaeljs.com)– Extensible with other SVG toolkits (D3,
etc)
›› ExPlates ›› PivotLab ›› PurdueUniversity
››
›› ExPlates ›› PivotLab ›› PurdueUniversity
››
DISCUSSION
›› ExPlates ›› PivotLab ›› PurdueUniversity
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Discussion and Limitations
» Scalability: complex exploration + size– Zooming and panning navigation–Web-based setting gives upper bound
» Expertise: web-based but not intended for novice-level users
» Comparison: relation to MDV tools– Data-flow (DataMeadow, GraphTrail)– Dashboard/workbench (Tableau,
Spotfire)
›› ExPlates ›› PivotLab ›› PurdueUniversity
››
CONCLUSION
›› ExPlates ›› PivotLab ›› PurdueUniversity
››» Spatializing
exploration– Branching visual history– Duplicate, do not update
» Data flow system– Automatic layout
» Multidimensional data– Visualization + analysis
» Web-based prototype– Live, dynamic updates
›› ExPlates ›› PivotLab ›› PurdueUniversity
››Questions?
Niklas ElmqvistPurdue University
West Lafayette, IN, [email protected]
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All images are Creative Commons from Flickr.com
