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Seaborn Statistical Visualization

Generates correct, up-to-date seaborn 0.13 code for distribution, relationship, and categorical plots from pandas DataFrames.

Data & AnalyticsIntermediate★ 33,030⑂ 3,248AI score 9/10Last updated: Aug 9, 2026

What it does

  • Picks the right statistical chart (box, violin, pair plot, heatmap, regression) and writes the code for it.
  • Applies seaborn 0.12/0.13 API changes: errorbar instead of ci, native_scale=True, no bare palette without hue, density_norm instead of scale.
  • Guides the choice between the classic function API and the modern declarative seaborn.objects API.
  • Explains long-form (tidy) vs wide-form data and how to reshape with melt().
  • Covers publication polish: FacetGrid/PairGrid/JointGrid faceting, colorblind-safe palettes, 300dpi PNG and vector PDF export.

Who it's for

  • Data analysts and researchers doing exploratory analysis in Python.
  • Anyone who wants publication-ready figures without hand-tuning matplotlib.
  • People tired of deprecation warnings from older seaborn snippets.

Example uses

  1. "Show tip distribution by weekday as a violin plot from the tips dataset" → modern violinplot(density_norm=...).
  2. "Plot mean value over time per experiment group with an SD band" → lineplot(errorbar='sd', hue='group').
  3. "Build a clustered correlation heatmap and save it as 300dpi PNG plus PDF" → clustermap + savefig(dpi=300, bbox_inches='tight').

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/HEAD/skills/seaborn/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on Claude Skill Mart.
Copy the skills/seaborn folder from the GitHub repo K-Dense-AI/scientific-agent-skills into my ~/.claude/skills/seaborn/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/K-Dense-AI/scientific-agent-skills.git && mkdir -p ~/.claude/skills && cp -r scientific-agent-skills/skills/seaborn ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal and clone the repo: git clone https://github.com/K-Dense-AI/scientific-agent-skills.git
  2. Create the skills folder if needed: mkdir -p ~/.claude/skills
  3. Copy just this skill: cp -r scientific-agent-skills/skills/seaborn ~/.claude/skills/
  4. Install the library: uv pip install "seaborn==0.13.2" (add stats extras with uv pip install "seaborn[stats]==0.13.2")
  5. Restart Claude Code and ask something like "use seaborn to plot the distribution of this dataset" to trigger the skill.
  6. For private, regulated, or offline data, load local CSVs with pandas instead of sns.load_dataset(), which downloads sample data.
View source on GitHub ↗License: MIT