Data Visualisation - Techniques and Polish Workshop held by Flink Labs for the Visualizing.org data visualization marathon help in Sydney.

2. Our Process
Iteration
Explore and analyse
Develop detailed
data. Define
design and Develop and deploy
requirements and
visualisation visualisation
conceptual design.
prototypes.
Feedback
Exploration Design Development
Gather and review data Create interactive prototypes Develop select visualisation
Assess audience needs Design technical architecture Implement server backend
Sketch conceptual designs Design detailed interactions Handover and training
Produce data profile

3. Author driven vs Viewer driven
Martini Glass
Author driven, linear narrative initially
Opens up to viewer driven at end
Tell a story then exploration
e.g. Interactive news
Interactive Slideshow
Balance of author and viewer driven
Exploration at each stage
Primarily linear narrative
Drill Down Story
Viewer driven narrative
Initial high level overview
Viewer then drills into detail
e.g. Interactive map
J. Heer

4. Form
Visual Encoding
Orientation Line Length Line Width Size
Shape Curvature Enclosure Motion
Colour Position
Intensity Hue 2-D Position Grouping
Ware

5. Gestalt Principles of Visual Perception
Similarity Similarity Connection
Continuity Closure Enclosure
Proximity Proximity Proximity

6. Tricks and techniques
Curves Circles Fade and Highlight
Motion Radial Motion Rotation
Colour and opacity Interaction
Flink Labs

7. Ghost Counties

8. UN Global Pulse Challenge

9. World Economic Forum
Data Visualisation Challenge

10. World Water Day Visualisation Challenge

11. Things to watch out for!