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Faceting: four variables with position
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Classroom Contents
Data Visualization - From Square One to Interactivity
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- 1 Intro
- 2 Visualization in the data science workflow
- 3 Where we are today
- 4 Why make data visualizations?
- 5 Ask whether a visualization is necessary and effective
- 6 Visualizations can fundamentally surprise us
- 7 Visualizations are mappings, encoded and decoded
- 8 Types of data and attributes
- 9 Some quantitative encodings are easier to decode
- 10 Common versus noncommon scales
- 11 Faceting: four variables with position
- 12 Preattentive attributes are easily perceived...
- 13 Example: bar chart
- 14 References and further reading (all on Amazon)
