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Seaborn

Maintainer K-Dense Inc. · Last updated April 1, 2026

Seaborn is a Python visuali.

Claude CodeOpenClawNanoClawAnalysisReproductionseaborndata-analysispackagedata analysis & visualization

Original source

K-Dense-AI/claude-scientific-skills

https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/seaborn

Maintainer
K-Dense Inc.
License
BSD-3-Clause license
Last updated
April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

  • Seaborn is a Python visualization library for creating publication-quality statistical graphics. Use this skill for dataset-oriented plotting, multivariate analysis, automatic statistical estimation, and complex multi-panel figures with minimal code.
  • df = sns.load_dataset('tips').

Source Doc

Excerpt From SKILL.md

Design Philosophy

Seaborn follows these core principles:

  1. Dataset-oriented: Work directly with DataFrames and named variables rather than abstract coordinates
  2. Semantic mapping: Automatically translate data values into visual properties (colors, sizes, styles)
  3. Statistical awareness: Built-in aggregation, error estimation, and confidence intervals
  4. Aesthetic defaults: Publication-ready themes and color palettes out of the box
  5. Matplotlib integration: Full compatibility with matplotlib customization when needed

Quick Start

import seaborn as sns
import matplotlib.pyplot as plt
import pandas as pd

## Create a simple visualization

sns.scatterplot(data=df, x='total_bill', y='tip', hue='day')
plt.show()

Use cases

  • Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults.

Not for

  • Do not rely on this catalog entry alone for installation or maintenance details.

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