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# Models of Good Data Viz
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## Today
- Reiterate key criteria.
- Look at a lot of data viz examples.
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## What are we looking for?
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## Example 1
TODO: A Famous One
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## Example 2:
TODO: Something from Amy
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## Example
Solving a unique problem
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## Example
Solving a unique problem
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## Example 3:
TODO: gathering
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## Example 4:
TODO: gathering
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## Example 5:
TODO: gathering
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## Example 6:
TODO: gathering
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# Critique
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## Today
- Goals of design critique.
- How to take critique.
- How to offer critique.
- Practice.
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## Goals of Design Critique
Why is critique essential?
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TODO
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## Giving & Taking Critique
- I Like - constructive feedback is important
- I Wish - framing negative feedback
- What If - suggestions
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## Grounding Feedback
Understand audience.
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## What to Look For
### Expressiveness
- Prioritizes important information / Avoids false inferences
- Consistent visual mappings (e.g., respect color mappings)
- Make encodings meaningful rather than arbitrary
### Effectiveness
Facilitates accurate decoding / Minimizes cognitive overhead
Highlight elements of primary interest
### Grouping / Sorting
### Data Transformation
### Non-Data Elements
- Descriptive: Title, Label, Caption, Data Source, Annotations
- Reference: Gridlines, Legend
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## Critique 1
TODO: something bad
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## Critique 2
TODO: something quite good
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## Critique 3
TODO: something with plenty to fix
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## Critique 4
TODO: something famous
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## Acknowledgements