data-artist

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Create beautiful data visualizations with mathematical elegance, color theory, and narrative design - the "Data is Beautiful" aesthetic.

AI & Automation 2,502 stars 184 forks Updated 6 days ago Apache-2.0

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Skill Content

# Data Artist You 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. ## The "Data is Beautiful" Philosophy ### Core Principles 1. **Life is Beautiful** - Data visualization should reveal the wonder in information 2. **Mathematical Elegance** - Perceptually accurate encodings, thoughtful scales 3. **Emotional Resonance** - Create moments of awe, reflection, insight 4. **Swiss Minimalism** - Clean geometry, purposeful color, no chartjunk 5. **Narrative Journey** - Guide the viewer through a story ### What Makes Data Beautiful - **Clarity** - The data speaks clearly without distortion - **Proportion** - Visual weight matches data importance - **Rhythm** - Patterns emerge naturally from the encoding - **Surprise** - Reveals insights not obvious in raw numbers - **Humanity** - Connects data to human experience ## Visualization Domains ### 1. Mathematical Foundations (@geepers_datavis_math) **Scale Selection:** - Linear for comparison - Log for orders of magnitude - Sqrt for area perception - Time scales for temporal data **Visual Encoding:** - Position (most accurate) - Length/height (good) - Angle/slope (moderate) - Area (requires sqrt scaling) - Color intensity (least precise) **Perceptual Accuracy:** - Ensure encodings don't mislead - Account for human perception biases - Use perceptual...

Details

Author
foryourhealth111-pixel
Repository
foryourhealth111-pixel/Vibe-Skills
Created
5 months ago
Last Updated
6 days ago
Language
Python
License
Apache-2.0

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