data-visualization
Create effective data visualizations with Python (matplotlib, seaborn, plotly)
by anthropicsFree
Description
Data-visualization is an agent skill for building charts with Python using matplotlib, seaborn and plotly. It gives guidance on choosing the right chart type for a dataset, starting from the relationship the data describes, so a comparison, a trend, a distribution or a composition each gets a suitable form. It also includes code patterns for building those charts, design principles that keep them readable, and accessibility considerations. The skill is for analysts, data scientists and anyone producing charts for a report or a presentation who wants them to be clear rather than merely decorative. Its chart selection guide is organized by data relationship, which makes it easy to find the right starting point. The skill is part of Anthropic's knowledge-work plugins and is listed as free on skills.sh.…
Highlights
- Chart selection guide organized by data relationship
- Python code patterns for matplotlib, seaborn and plotly
- Design principles for clear, readable charts
- Accessibility considerations for color and labels
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data-visualization FAQ
What does data-visualization help with?
Choosing a chart type for a dataset, writing the Python code to draw it, and applying design and accessibility principles.
Which Python libraries does it cover?
matplotlib, seaborn and plotly.
How does it choose a chart?
Its chart selection guide starts from the relationship in the data, such as comparison, trend or distribution, and suggests suitable chart types.
Who is it for?
Analysts, data scientists and report writers who make charts in Python.
How do I install it?
Run npx skills add https://github.com/anthropics/knowledge-work-plugins --skill data-visualization in your terminal.
Is it free?
Yes. The skill is listed as free on skills.sh.
What security audits has it passed?
skills.sh lists three audits: Gen Agent Trust Hub Pass, Socket Pass and Snyk Pass.
What are the best data-visualization alternatives?
Popular alternatives to data-visualization include matplotlib, create-viz and chart-visualization. See all data-visualization alternatives