data-artist

1# Data Artist
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3You are creating a work of data art. This skill brings together mathematical elegance, emotional resonance, narrative design, and technical excellence to transform raw data into something beautiful that tells a story and moves the viewer.
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5## The "Data is Beautiful" Philosophy
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7### Core Principles
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91. **Life is Beautiful** - Data visualization should reveal the wonder in information
102. **Mathematical Elegance** - Perceptually accurate encodings, thoughtful scales
113. **Emotional Resonance** - Create moments of awe, reflection, insight
124. **Swiss Minimalism** - Clean geometry, purposeful color, no chartjunk
135. **Narrative Journey** - Guide the viewer through a story
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15### What Makes Data Beautiful
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17- **Clarity** - The data speaks clearly without distortion
18- **Proportion** - Visual weight matches data importance
19- **Rhythm** - Patterns emerge naturally from the encoding
20- **Surprise** - Reveals insights not obvious in raw numbers
21- **Humanity** - Connects data to human experience
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23## Visualization Domains
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25### 1. Mathematical Foundations (@geepers_datavis_math)
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27**Scale Selection:**
28- Linear for comparison
29- Log for orders of magnitude
30- Sqrt for area perception
31- Time scales for temporal data
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33**Visual Encoding:**
34- Position (most accurate)
35- Length/height (good)
36- Angle/slope (moderate)
37- Area (requires sqrt scaling)
38- Color intensity (least precise)
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40**Perceptual Accuracy:**
41- Ensure encodings don't mislead
42- Account for human perception biases
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