Visually Effective Information Visualization for Large Data

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Visually EffectiveInformation Visualizationfor
Large Data

• Matej Novotný

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Information Visualization

• Communicate information through graphical
  representation of data
• Popular in statistics, economy, industry

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InfoVis techniques
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Parallel Coordinates

• Axes are placed parallel and a data point is
  displayed as a polyline
• Inselberg1990
• Multiple dimen-sions displayedat once

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Parallel Coordinates example
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Large Data

• Technology development produces larger and more
  precise information.
• 104 - 106 data samples
• Large size of the data causes many visualization
  problems

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Large Data Problems

1. Speed
2. Occlusion
3. Aggregation

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Solution Visual Abstraction

• a simpler graphical representation that
  preserves important information

Hadwiger2003
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Clustering And Binning

• used to provide abstract information
• produce groups of similar samples

original data
clustering
binning
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Visual Representation

• groups of lines - colored areas
• colors - diverse yet equally bright
  brewer2003
• transparency improves overlapping
• ordering before rendering
• big areas first, small areason top of them

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Visual Representation contd

• texture
• shape of cluster
• avoids misinterpretation
• opacity value
• Population of cluster
• Density of cluster

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Information drill-down

• Multiple levels of abstraction
• Details on demand

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Results speed problem

• Response time
• 380.000 lines 3 sec
• 260 quadslt 0.1 sec

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Results occlusion problem

• Fluid dynamics - particles with low turbulency
  have low dissipation rate

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Results aggregation problem

• Most of the data found to be aggregated in a thin
  area.

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Conclusions And Future Work

• Visual abstraction enhances cluttered and dense
  displays
• Promising results for the price of a simple
  pre-processing
• Additional research in large data clustering
  possible
• The concept can be extended to many other
  infovis techniques

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Acknowledgements

• Robert Kosara, Helwig Hauser
• VRVis

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The real journey of discovery is not made by
seeking new lands but by opening new eyes. -
Marcel Proust