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The InfoVis Toolkit Jean-Daniel Fekete INRIA Futurs/LRI, France Jean-Daniel.Fekete@ inria.fr http://www.lri.fr/~fekete/Inf ovisToolkit

The InfoVis Toolkit Jean-Daniel Fekete INRIA Futurs/LRI, France [email protected] fekete/InfovisToolkit [email protected]

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Page 1: The InfoVis Toolkit Jean-Daniel Fekete INRIA Futurs/LRI, France Jean-Daniel.Fekete@inria.fr fekete/InfovisToolkit Jean-Daniel.Fekete@inria.fr

The InfoVis Toolkit

Jean-Daniel FeketeINRIA Futurs/LRI, France

[email protected]://www.lri.fr/~fekete/InfovisToolkit

Page 2: The InfoVis Toolkit Jean-Daniel Fekete INRIA Futurs/LRI, France Jean-Daniel.Fekete@inria.fr fekete/InfovisToolkit Jean-Daniel.Fekete@inria.fr

Goals

• Simplify the integration of Information Visualization techniques in Java/Swing applications

• Simplify the creation and experimentation of new visualization techniques

• Simplify the creation and experimentation of new interaction techniques

• Provide a support for teaching InfoVis• Provide a base for InfoVis student projects• Scales well in term of space and speed

Page 3: The InfoVis Toolkit Jean-Daniel Fekete INRIA Futurs/LRI, France Jean-Daniel.Fekete@inria.fr fekete/InfovisToolkit Jean-Daniel.Fekete@inria.fr

Internal Structure• Data structures are composed of

Columns• Columns contain homogeneous data

– Contain metadata– Support notification– Support formatting for input and output– Support missing values– Efficient in speed and memory usage

• Data structures are based on tables– Attributes and topology explicitly

represented as columns– Trees

• Columns containing the parent, 1st child, next child, last child

– Graphs (two tables for vertices and edges)

• In vertex table: Outgoing edge list, ingoing edge list

• In edge table: next edge on outgoing list, next edge in ingoing, in and out vertices

WritersReaders

Table

Visualization

Col

umns

Met

adat

a

Vis

ual A

ttri

bute

s

Layout

Sha

pe C

olum

n

Rendering

Labeling

Picking

Fisheyes

Image

Components

Dyamic Queries Controls

Page 4: The InfoVis Toolkit Jean-Daniel Fekete INRIA Futurs/LRI, France Jean-Daniel.Fekete@inria.fr fekete/InfovisToolkit Jean-Daniel.Fekete@inria.fr

Results

• Article at InfoVis 04 about the Toolkit and a user evaluation

• Technical report about performance issues

• Several projects– Monitoring of constraint-based systems– Software testing– Visualization of familiar data (new Desktop)

Page 5: The InfoVis Toolkit Jean-Daniel Fekete INRIA Futurs/LRI, France Jean-Daniel.Fekete@inria.fr fekete/InfovisToolkit Jean-Daniel.Fekete@inria.fr

Problems

• Separation of concerns• Data structure for graphs is complex when scalability

and extensibility are required– Tulip has a good model

• When a good framework exists, implementing parts is long, tedious and hard– Visualizations (layouts)– Rendering (labels, arrow ends, arcs shapes)– Components for “magic-lenses” (Fisheyes, excentric labels)– Components for Dynamic Queries (sliders et al.)– Components to configure and control visualizations– Readers and writers

• Documentation …

Page 6: The InfoVis Toolkit Jean-Daniel Fekete INRIA Futurs/LRI, France Jean-Daniel.Fekete@inria.fr fekete/InfovisToolkit Jean-Daniel.Fekete@inria.fr

Is there several ways to do it?

• Looking at implementations, 2 ways– The good old object oriented way– The column-oriented way

• The goals are the same for most projects– Same scales– Same platforms– Same languages (almost)

• Should I continue by myself?