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Data manipulation in python (module 3)
1. Visualization wheel dimensions
Abstraction - Figuration
- boxes and charts(abstraction) or real-world physical objects(figuration)
Functionality - Decoration
- No embellishments or artistic embellishments
Density - Lightness
- Must be studied in depth or understandable at a glance
Multidimensional - Unidimensional
- Different aspects of phenomena or single or few items of phenomena
Originality - Familiarity
- Novel methods of visualization or established and well understood methods of visualization
Novelty - Redundancy
- Explaining each item once or encoding multiple explanations of the same phenomena
Qualities of a visualization
- truthful
- functionality
- beauty
- insightful
- enlightening
2. Data ink ratio
Data ink ratio is defined as the non-erasable core of a graphic.
3. Chart junk
non-data creative graphics
4. Spark Lines & lie factor
A small graph embeded within the context of discussion like a time series line graph could convey so much more information quickly
Lie factor is the size of an effect in the graphic divided by the size of the effect actually in the data
Data manipulation in python (module 3)
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