Visually Effective Information Visualization for Large Data

http://www.VRVis.at/

Visually Effective

Information Visualization

for Large Data

Matej Novotný

Matej Novotný

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Visually Effective Information Visualization for Large Data

Information Visualization

Communicate information
through g
raphical
representation of data







Popular in statistics, economy, industry
…

Matej Novotný

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Visually Effective Information Visualization for Large Data

InfoVis techniques

Matej Novotný

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Visually Effective Information Visualization for Large Data

Parallel Coordinates

Axes are placed parallel and a data point
is displayed as

a polyline

[Inselberg1990]


Multiple dimen
-

sions displayed

at once

Matej Novotný

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Visually Effective Information Visualization for Large Data

Parallel Coordinates example

Matej Novotný

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Visually Effective Information Visualization for Large Data

Large Data




Technology development produces
larger and more precise information.




1
0
4
-

10
6

data samples


Large size of the data causes m
any
visualization problems

Matej Novotný

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Visually Effective Information Visualization for Large Data

Large Data Problems



1.
Speed

2.
Occlusion

3.
Aggregation

Matej Novotný

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Visually Effective Information Visualization for Large Data

Solution
–

Visual Abstraction



a simpler graphical representation
that preserves important information

[Hadwiger2003]

Matej Novotný

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Visually Effective Information Visualization for Large Data

Clustering And Binning



used to provide abstract information



produce groups of similar samples



original data

clustering

binning

Matej Novotný

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Visually Effective Information Visualization for Large Data

Visual Representation



g
roups of lines

-

colored areas



colors
-

diverse yet equally bright


[brewer2003]



transparency improves


overlapping



ordering before rendering


big areas first, small areas

on top of them

Matej Novotný

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Visually Effective Information Visualization for Large Data

Visual Representation cont
’d



texture


shape of cluster


avoids misinterpretation




opacity value


Population of cluster


Density of cluster


Matej Novotný

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Visually Effective Information Visualization for Large Data

Information drill
-
down



Multiple levels of abstraction



Details on demand


Matej Novotný

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Visually Effective Information Visualization for Large Data

Results
–

speed problem

Response time :


380.000 lines



3 sec




260 quads


< 0.1 sec

Matej Novotný

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Visually Effective Information Visualization for Large Data

Results
–

occlusion problem

Fluid dynamics
-

particles with low
turbulency have low dissipation rate

Matej Novotný

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Visually Effective Information Visualization for Large Data

Results
–

aggregation problem

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

Matej Novotný

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Visually Effective Information Visualization for Large Data

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

Matej Novotný

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Visually Effective Information Visualization for Large Data

Acknowledgements



Robert Kosara, Helwig Hauser



VRVis





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Visually Effective Information Visualization for Large Data

“The real journey of discovery is
not made by seeking new lands
but by opening new eyes.”


-

Marcel Proust