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DA
data-visualization-expert
Maintainer FreedomIntelligence · Last updated April 1, 2026
Expert data visualization for complex scientific and clinical datasets.
Original source
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/data-visualization-expert
- Maintainer
- FreedomIntelligence
- License
- MIT
- Last updated
- April 1, 2026
Skill Snapshot
Key Details From SKILL.md
Key Notes
- A dedicated skill for transforming raw data (CSV, JSON, Excel) into compelling visual narratives. Specializes in statistical and scientific plotting.
- Visualize the distribution of 'Age' vs 'Income' from customers.csv.
Source Doc
Excerpt From SKILL.md
When to Use
- Reports: Summarizing key metrics or KPIs.
- Exploration: Initial data analysis (EDA) to find trends/outliers.
- Publication: Generating figures for papers or presentations.
- Comparison: Comparing models, cohorts, or experimental groups.
Core Capabilities
- Code Generation: Creates Python scripts (Matplotlib, Seaborn, Plotly) or R code (ggplot2).
- Style Enforcement: Adheres to specific journal/company branding (fonts, colors).
- Data Cleaning: Preprocesses data (handle missing values, normalize) for plotting.
- Artifact Management: Saves plots as PNG/SVG/PDF files.
Workflow
- Load Data: Read input file (
pd.read_csv()) and inspect columns/types. - Clean & Transform: Filter, pivot, or aggregate data as needed.
- Generate Plot: Write plotting script with strict aesthetic controls.
- Save & Verify: Execute script, check output file existence/size.
Use cases
- Use data-visualization-expert to prepare publication-quality figures.
- Apply data-visualization-expert when results need clear visual communication.
Not for
- Do not rely on this catalog entry alone for installation or maintenance details.
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