Chart Type Recommender

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by jeremylongshore · vlatest · Repository

This skill recommends optimal chart types based on your data and visualization goals, saving you time and ensuring impactful insights.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add chart-type-recommender npx -- -y @trustedskills/chart-type-recommender
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "chart-type-recommender": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/chart-type-recommender"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

The Chart Type Recommender skill analyzes data descriptions and suggests appropriate chart types for visualization. It can recommend charts like bar, line, pie, scatter plots, or others based on the provided data characteristics. The goal is to help users quickly determine the best way to visually represent their datasets effectively.

When to use it

  • You have a dataset but aren't sure which chart type would be most effective for communicating its insights.
  • You’re creating a dashboard and need suggestions for visualizing different data points.
  • You want to explore various visualization options before committing to a specific chart design.
  • You are preparing a presentation and need help selecting the right charts to support your narrative.

Key capabilities

  • Recommends appropriate chart types based on data descriptions.
  • Supports a variety of chart types (bar, line, pie, scatter plots, etc.).
  • Analyzes dataset characteristics to inform recommendations.

Example prompts

  • "I have sales data over time; what chart type should I use?"
  • "Suggest a chart for comparing market share between different companies."
  • “My data shows the relationship between advertising spend and website traffic – what’s a good visualization?”

Tips & gotchas

The quality of recommendations depends on the clarity and detail provided in the data description. Vague descriptions may lead to less accurate suggestions.

Tags

🛡️

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Details

Version
vlatest
License
Author
jeremylongshore
Installs
14

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Passed automated security scans.