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pycon2013 / visualizing-github-2.txt

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- We produce a *story* (about selection visualization)
- Data as story telling is new (vs words/picture/music ...)
- Context: Medium and Audience
- The eye candy trap (beautiful noise is still just noise)
- Mapping data onto meaningful visuals
- D3
- Animation can help explain overload of info on element
- Can use text, not too much
- Stored data on files and loaded with D3
    - Browser caching works for you
- JSON have type but bloated for data
- Ended up using CSV with JSON schema
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