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Statistical Visualization

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Create publication-quality R plots.

Data & Analytics#data visualization#visualization#r#publication#ggplot2#3d plots
Authorntluong95
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps users generate publication-quality data visualizations in R, ensuring clarity, aesthetic appeal, and adherence to journal standards.

Core Features & Use Cases

  • ggplot2 Customization: Apply consistent themes, labels, and color palettes for professional figures.
  • Multi-Panel Figures: Combine multiple plots efficiently using patchwork or cowplot.
  • 3D Surface Plots: Generate interactive or static 3D visualizations, particularly for DLNM models.
  • Use Case: You need to create a figure for a journal submission showing the relationship between air pollution and health outcomes across different lag days, including a 3D surface plot and a multi-panel time series.

Quick Start

Use the visualization skill to create a ggplot2 scatter plot with custom labels and a minimal theme.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: Statistical Visualization
Download link: https://github.com/ntluong95/agent-skills-statistics/archive/main.zip#statistical-visualization

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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