The best way to have a good idea is to have a lot of ideas. -Linus - - PowerPoint PPT Presentation

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The best way to have a good idea is to have a lot of ideas. -Linus - - PowerPoint PPT Presentation

Jun 25, 2023 24 likes •584 views

The best way to have a good idea is to have a lot of ideas. -Linus Pauling Agenda Wishful thinking Break Constraint removal Lunch and excursion Visualization awareness Break Storyboarding Reflection

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“The best way to have a good idea is to have a lot of ideas.”

  • Linus Pauling
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Agenda

  • Wishful thinking
  • Break
  • Constraint removal
  • Lunch and excursion
  • Visualization awareness
  • Break
  • Storyboarding
  • Reflection
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Guidelines

  • All ideas are valid – record them.
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Wishful thinking

Or, what would you like to be able to do?

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Wishful thinking prompts

  • What would you like to know?
  • What would you like to be able to do?
  • What would you like to see?
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Data

  • cell
  • group of cells
  • cell class
  • section (slice) of cells
  • connection
  • connection type
  • entire database
  • something else…

For a cell class, search for cells that are connected to it by a specific connection type. For a cell, what cell types can be reached by n hops? For a cell, what class is it?

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Analyze your items

  • Which would have the greatest impact on your work?
  • What are the patterns or trends?
  • What are the outliers? Why?
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Constraint removal

Or, what if you could do what you want?

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  • 1. Identify constraints

For a cell, what class is it? Constraint: Electron microscopy and chemical analysis are mutually exclusive

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  • 2. Remove constraints  what then?

For a cell, what class is it? Constraint: electron microscopy and chemical analysis are mutually exclusive Constraint removal: suppose you could somehow do

  • both. Then what? What would this allow?
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Lunch and excursion

Or, what can you relate to what we’ve talked about today?

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Visualization awareness

Or, what’s going on in the visualization zoo?

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Activities

  • We will present seven visualizations from various fields
  • Informally discuss data and tasks
  • Relate aspects of these examples to what we’ve talked about
  • e.g., data, tasks, layout, interaction, colors, and aesthetics
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LineUp

LineUp: Visual Analysis of Multi-Attribute Rankings. S. Gratzl et al. 2013. IEEE Transactions on Visualization and Computer Graphics (Proc. InfoVis)

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Data

  • Hundreds of items – e.g., universities
  • Tens of attributes per item – e.g., student-teacher ratio, citations, etc

Tasks

  • Rank items based on weighted attributes
  • Interactively refine and explain ranks
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ABySS-Explorer

ABySS-Explorer: Visualizing Genome Sequence Assemblies. C. B. Nielsen et al. 2009. IEEE Trans. Visualization and Computer Graphics (Proc. InfoVis)

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Data

  • Genome sequences divided into short, contiguous chunks - “contigs”
  • Automated assembly of chunks into larger genes – “assembly”

Tasks

  • Understand assembly structure
  • Assess assembly quality
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Data

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Feeling the Crunch of the Deadline

From VisualSedimentation.org

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Data

  • 20 different project repositories
  • Series of commits 20 days before a paper deadline

Tasks

  • Enjoy the visualization
  • Sympathize with the researchers
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Multivariate Network Exploration and Presentation: From Detail to Overview via Selections and Aggregations

Multivariate Network Exploration and Presentation: From Detail to Overview via Selections and Aggregations.

  • S. Elzen and J. van Wijk. 2014. IEEE Trans. on Visualization and Computer Graphics. (Proc. InfoVis)
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Data

  • Collected from the census
  • ~3000 nodes represent US counties
  • ~80,000 edges represent migrations between counties

Tasks

  • Explore relationships between nodes and attributes
  • Present results of exploration
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Exploring the data

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One-hop migration

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Two-hop migration

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Les Misérables Co-occurrence

From Mike Bostock’s Blog

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Data

  • Characters in the play Les Misérables (tens)
  • Edges representing co-occurrences

Tasks

  • Enjoy the visualization
  • Understand patterns in co-occurrences
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NeuroLines

NeuroLines: A Subway Map Metaphor for Visualizing Nanoscale Neuronal Connectivity. A. Al-Awami et al. 2014. IEEE Transactions on Visualization and Computer Graphics (Proc. InfoVis)

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Data

  • Electron microscopy volume
  • Manual annotation of cells and synapses

Tasks

  • Explore synapses patterns with respect to connections, branching,

and pathways

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Poemage

Poemage: Visualizing the Sonic Topology of a Poem. N. McCurdy et al. 2015. IEEE Transactions on Visualization and Computer Graphics (Proc. InfoVis) [Under Review]

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Data

  • Raw data: text
  • Derived data: rhyme sets – sets of words linked through

sonic/linguistic resemblances

  • Explore individual rhyme sets in the space of the poem
  • Explore the sonic topology of a poem – the complex structures

formed via the interaction of rhyme sets across the space of the poem.

Tasks

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Storyboarding

Or, what does interaction with future software look like?

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Sketching

  • This is not about pretty pictures
  • This is about ideas
  • Flesh out & communicate your ideas on paper
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Image: http://i2.wp.com/www.alexemde.de/wp/wp-content/uploads/2014/07/Storyboard-1.jpeg

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St Stor

  • ryboarding
  • Focuses on the tasks
  • Show the person and the flow of events
  • e.g. a comic strip
  • Accomplish: setting, sequence, & satisfaction
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Reflection and conclusion

Or, what are the most interesting ideas from today?