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data-visualization

Generate data visualizations with Matplotlib and Seaborn code examples.

Updated Feb 6, 2026
Search Tags:#data visualization#python#data analysis#matplotlib#seaborn#chart selection
One-click install
npx skills add https://github.com/lohasle/knowledge-work-plugins --skill data-visualization-lohasle
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-visualization
Source: https://github.com/lohasle/knowledge-work-plugins/tree/main/data/skills/data-visualization
Command: npx skills add https://github.com/lohasle/knowledge-work-plugins --skill data-visualization-lohasle

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps users create clear, effective, and accessible data visualizations by providing guidance on chart selection, Python code patterns, and design principles.

Core Features & Use Cases

  • Chart Selection: Recommends the best chart type based on the data relationship being shown.
  • Python Code Examples: Provides ready-to-use Python code snippets for various chart types using Matplotlib and Seaborn.
  • Design & Accessibility: Offers best practices for color, typography, layout, and accessibility to ensure visualizations are understandable and usable by all.
  • Use Case: You have a dataset of monthly sales figures and want to show the trend over the last year. This Skill can guide you to use a line chart and provide the Python code to generate it, ensuring it's properly labeled and styled.

Quick Start

Use the data-visualization skill to create a line chart showing the 'sales' column over 'date' from the dataframe.

Frequently Asked Questions about data-visualization

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I choose the right chart type for my data visualization in Python?▼

Chart selection for data visualization depends on the data relationship you are showing. This Skill recommends the best chart type based on your dataset and provides Python code to generate it.

What is the best way to create accessible data visualizations using Matplotlib and Seaborn?▼

Accessible data visualizations require adhering to design principles for color, typography, and layout. This Skill offers best practices to ensure your Matplotlib and Seaborn charts are understandable by all users.

How do I generate a line chart for monthly sales trends using Python?▼

To generate a line chart for monthly sales trends, you map the 'sales' column over the 'date' column. This Skill provides ready-to-use Python code snippets to implement and properly label the chart.

Can I use this for creating presentation-ready charts without deep Python knowledge?▼

Yes, you can create presentation-ready charts by utilizing the provided Python code patterns. The Skill supplies ready-to-use snippets and design guidance for clear data communication without requiring advanced programming.

Does this Skill provide code patterns for both Matplotlib and Seaborn?▼

Yes, the Skill provides Python code examples for various chart types using both Matplotlib and Seaborn. It supports code implementation to address the need for clear data communication in reports.

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