data-visualization

Select appropriate chart types and design guidance for datasets and questions.

3|Updated May 28, 2026

Search Tags:#communication #data-analysis #data-visualization #chart-design #dashboard-design #visualization-best-practices

Ready to run

npx skills add https://github.com/mahg-es/araya --skill data-visualization-mahg-es

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: data-visualization
Source: https://github.com/mahg-es/araya/tree/main/skills/data-visualization
Command: npx skills add https://github.com/mahg-es/araya --skill data-visualization-mahg-es

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Data in tables hides patterns. Good visualizations reveal them instantly: trends, outliers, correlations, and distributions become visible. This skill selects the right visualization for the data and the question, applying design principles that make insights obvious.

Core Features & Use Cases

Define the question and choose appropriate chart types based on data characteristics.
Apply design principles: avoid clutter, color palette considerations, labeling near data, and accessibility.
Use Case: For dashboards and reports, convert raw data into visuals that communicate insights quickly.

Quick Start

Provide a dataset and a question, and ask for a visualization recommendation with chart type and design details.

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?▼

Selecting the right data visualization depends on your specific question and data characteristics. Matching chart types to your dataset ensures patterns, trends, and correlations become visually obvious in reports and dashboards.

What is the best way to design a clear dashboard?▼

The best way to design a dashboard is applying core visualization principles: avoiding clutter, using accessible color palettes, and placing labels near the data. This ensures insights are communicated quickly and clearly.

How do I make data visualizations accessible?▼

Making data visualizations accessible involves choosing color palettes carefully and applying inclusive design principles. Proper labeling and clutter reduction ensure your charts remain readable and insightful for all audiences.

Can I get chart recommendations for a business analytics report?▼

Yes, you can get chart recommendations for a business analytics report by providing your raw dataset and analytical question. The system outputs appropriate chart types and design guidance tailored to your specific data.

Why does my data visualization fail to show patterns?▼

Your data visualization fails to show patterns when the chart type does not align with the data characteristics or analytical question. Applying proper design principles and selecting the correct visual format reveals hidden trends.

Do I need a specific tool to apply visualization best practices?▼

No specific tool is required to apply visualization best practices. The guidance focuses on fundamental design principles like color choices, labeling, and clutter reduction that can be implemented across any dashboard or reporting platform.