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Visualizing Data: Crafting Narratives for Meaningful Insights

Explore the process of contextualizing information through narrative in data visualization, incorporating spatial and temporal structures to convey meaning effectively. Learn how 2D and 3D visualizations can enhance the understanding of complex data sets, with a focus on storytelling elements such as situation definition, event sequencing, and closure. Dive into a case study on the simulation of a severe storm, examining visualization techniques and color coding strategies for optimal communication. Discover how cinematic narratives and visual tools can shape the perception of data, enhancing comprehension and engagement.

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Visualizing Data: Crafting Narratives for Meaningful Insights

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  1. Narrative in Data Visualization

  2. Visual Information & Narrative • Information needs to be contextualized to give it meaning • Process of visualizing data consists of giving it form and meaning through narrative • Narrative structure: spatial, and/or time • 2D visualization: Can express time through movement around the space of the image • Or through sequence of images • 3D spatial visualization: Multiple point of views

  3. Narrative Temporal Structure • Start: Situation definition • Event: Event, transition, action, verb, etc. • Closure: Group information to make sense • Any of the 3 may be implied • Story normally evolves in time • Time often represented in space (graph)

  4. After the Storm: Simulation of a Severe Storm • Sequence: impliesplot development • Divided screen: subsections imply sequence • Shape: Horizontal implies time length • Spatial proximity: object placed next to another signifies relationship • Direction: left-to-right, or reverse • Scale: signifies hierarchy • Repetition: Rhythmic emphasis

  5. After the Storm: Simulation of a Severe Storm • Original video produced from data generated by a simulation on a CRAY supercomputer at NCSA, Illinois • The simulation models the genesis and lifetime of a severe storm • Edward Tufte proposed some optimization to the visualization

  6. After the Storm: Simulation of a Severe Storm • Reduce impact of grid as it is too dominant • Aim for “just-noticeable difference” • Reduce dramatized colors (naturalize) • Provide clear timeline (red horizontal line) • Replace frentic time clock with mini-icons • Clarify that vertical scale is non-proportional • Make the storm the dominant visual element

  7. After the Storm: Simulation of a Severe Storm

  8. After the Storm: Color Coding Issues • Colors based on “intent of analysis tasks” • Colorbar necessary to identify quantitative data values • Fewer colors that group best is better then full rainbow • For best color discrimination, use a limited color scheme (4 to 7)

  9. After the Storm: Simulation of a Severe Storm

  10. Cinematic Time Based Narrative (Gérard Genette) • Order: Temporal-order of the narrative • Duration: Timing structure of the narrative • Frequency: relationship between event and its retelling • Mood: Distance and perspective • Distance: Is it told in direct, indirect mode? • Perspective: point of view • From a fixed position • Outside the action • Narrator knows less then the characters • Voice: What kind of narrator implied?

  11. In the Screen/Image: Visual Narrative Tools • Sequence: impliesplot development • Divided screen: subsections imply sequence • Shape: Horizontal implies time length • Spatial proximity: object placed next to another signifies relationship • Direction: left-to-right, or reverse • Scale: signifies hierarchy • Repetition: Rhythmic emphasis

  12. Invisible Shape of Things Past, Art + Com, Berlin • A spatial, temporal concept for the organization and navigation of film objects of a particular site over time • Video Documentation • Pdf Document

  13. Bibliography • “After the Storm: considerations for Information Visualization”, NCSA, U of Illinois • “Visual Explanations”, Edward Tufte • Art + Com, Berlin

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