datavis
Data Visualization Skill
Create beautiful, mathematically elegant, emotionally resonant data visualizations.
Philosophy: "Life is Beautiful"
Every visualization should:
- Reveal truth through data
- Evoke wonder through design
- Respect the viewer through accessibility
- Honor complexity through elegant simplification
Core Capabilities
1. Visual Encoding
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Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.
3lqf_machine_learning_expert_guide
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2creating-data-visualizations
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