Data visualization
Skill ComeOnOliver/skillshub/skills/aiskillstore/marketplace/0xkynz/data-visualization
Create charts, graphs, and visualizations from data. Use when the user needs to visualize data, create charts, or generate reports with graphics.From its SKILL.md
npx -y skills add ComeOnOliver/skillshub --skill data-visualizationAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
1.1 KB, 238 tokens by cl100k_base, as published. Nobody here has run it
Data Visualization Skill
This skill provides capabilities for creating data visualizations.
Quick Start
Using matplotlib for basic charts:
import matplotlib.pyplot as plt
# Simple line chart
plt.plot([1, 2, 3, 4], [1, 4, 2, 3])
plt.title("Sample Chart")
plt.savefig("chart.png")
Capabilities
Chart Types
- Line charts
- Bar charts
- Pie charts
- Scatter plots
- Histograms
- Box plots
- Heatmaps
Libraries Supported
- Matplotlib (static charts)
- Seaborn (statistical visualizations)
- Plotly (interactive charts)
- Altair (declarative visualization)
Advanced Features
- Multi-axis plots
- Subplots and grids
- Custom themes and styling
- Annotations and labels
- Export to various formats (PNG, SVG, PDF)
Best Practices
- Choose the right chart type for your data
- Use clear labels and titles
- Consider color accessibility
- Keep visualizations simple and focused
- Export at appropriate resolution for intended use
What ships with it
8.1 KB alongside SKILL.md
GitHub clipped this repository’s file list, so this is at least 1 file and may be more.
- skill-report.json8.1 KB