This should be a circle New Insights in Data Visualization Jack - - PowerPoint PPT Presentation
This should be a circle New Insights in Data Visualization Jack - - PowerPoint PPT Presentation
This should be a circle New Insights in Data Visualization Jack van Wijk (TU/e) Stef van den Elzen (SynerScope) produce and collect Data People Visualization want insights The human visual system http://eofdreams.com The human visual
New Insights in Data Visualization
Jack van Wijk (TU/e) Stef van den Elzen (SynerScope)
Data People
produce and collect want insights Visualization
The human visual system
http://eofdreams.com
The human visual system
http://vinceantonucci.com
Anscombe’s quartet
Francis Anscombe, 1973
Visualization
Data People
produce and collect want insights Visualization
BIG MESSY
Data: flow fields – trees – graphs – tables – mobile data – events – … scientific visualization – math vis – human computer interaction – visual analytics – information visualization – software visualization – perception – geographic visuali Applications: health care – software analysis – business – bioinformatics – forens
Visualization @ TU/e
Hierarchy + network
Holten, 2006
Hierarchical edge bundles
Holten, 2006
SequoiaView
Van Wijk and Van de Wetering, 1999
Botanically inspired treevis
Kleiberg, Van de Wetering, van Wijk, 2001
One picture is worth a lot of pixels
- Focus on visual presentation
- Show everything in one picture?
How many disks?
Chris Healey: Perception in Visualization
Limits on perception…
How many disks?
Chris Healey: Perception in Visualization
Limits on perception…
Limits on perception…
How many red objects?
Chris Healey: Perception in Visualization
Limits on perception…
How many red objects?
Chris Healey: Perception in Visualization
How many red disks?
Chris Healey: Perception in Visualization
Limits on perception…
How many red disks?
Chris Healey: Perception in Visualization
Limits on perception…
Trends in visualization
- Focus on interaction
– Enable people to explore huge data
- Integrate statistics and machine learning
– Visual Analytics
Decision trees
Van den Elzen and Van W ijk, 2011
Van den Elzen et al., 2014
Telecom data Ivory Coast
Van den Elzen et al., 2013
From raw complex data clear visual order for fast sense making
- Visualize collection
- Browse and navigate
Rijksmuseum van Oudheden
Data
BIG? MESSY?
Object name: figuur; godin Description: Terracotta beeld van een vrouwelijke godin, met een
- hond. Met oude verlijmingen.
Material: Aardewerk Size: 12,7 x 5,5 x 4,2 cm Date: romeins 150-200 Site: Nederland, Utrecht, Rhenen, graf 6b
Data
57,000
!
Mix of Structured & Unstructured data
Data People
(Visual) Analytics Visualization Augment
Context Data
Visualization
Object name: figuur; godin Description: Terracotta beeld van een vrouwelijke godin, met een
- hond. Met oude verlijmingen.
Material: Aardewerk Size: 12,7 x 5,5 x 4,2 cm Date: romeins 150-200 Site: Nederland, Utrecht, Rhenen, graf 6b
Data People
Interaction (Visual) Analytics Visualization Augment
Context Data
Financial Services Critical Infrastructure Open Data Cyber Security
Conclusion – Visualization for Sensemaking
- Generic solutions
- Simple interaction / querying mechanisms
- Use proven workhorses
- Deal with large volume of data with
– Visual analytics, augmentation
- Deal with large variety of data
– Interlinked views
- System needs to support speed of thinking
Thank you!
dr.ir. Stef van den Elzen stef.van.den.elzen@synerscope.com http://www.win.tue.nl/~selzen @StefvandenElzen Prof.dr.ir. Jack van Wijk j.j.v.wijk@tue.nl http://www.win.tue.nl/~vanwijk @jackvanwijk