Introduction Workshop - Visualizing Marathon Data Visualisation
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The document discusses the creation of interactive data narratives, emphasizing a balance between author-driven and viewer-driven storytelling. It outlines a process involving exploration, design, and prototyping to enhance audience engagement through visualizations. Key principles of effective data representation and the importance of clear communication are also highlighted.
Introduction Workshop - Visualizing Marathon Data Visualisation
- 3. Author driven vs Viewer driven
- 7. Tell a story that you can interact with
- 8. 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
- 9. 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
- 10. Not just the averages
- 11. Draw the viewer into the data
- 12. Form Visual Encoding Orientation Line Length Line Width Size Shape Curvature Enclosure Motion Colour Position Intensity Hue 2-D Position Grouping Ware
- 13. Gestalt Principles of Visual Perception Similarity Similarity Connection Continuity Closure Enclosure Proximity Proximity Proximity
- 15. “Real artists ship” Don’t over reach Focus on the story of the data Use visual encoding wisely Don’t make your viewer work too hard at the start