Does this skill support the latest ggplot2 4.0 updates?

Yes, this skill is specifically optimized for ggplot2 4.0 and later, including S7 property access using the @ symbol and new theme-based layer defaults.

How does it handle axis and legend labels?

The skill supports multiple labeling methods, including dictionary-based labels, functional labels, and auto-populating labels from data frame attributes.

Can I use this skill to create custom themes?

Absolutely. It covers advanced theming features like element_geom(), from_theme(), and the new theme_sub_* shortcuts to make theme customization more efficient.

What new statistical transformations are included?

It provides guidance on new stats like stat_manual() for custom transformations and stat_connect() for creating specialized connection shapes between data points.

R ggplot2 Data Visualization

Name: R ggplot2 Data Visualization
Author: jsperger

byjsperger

•

데이터 과학 및 ML

Streamlines R data visualization workflows with expert guidance on ggplot2 4.0 features and grammar of graphics implementation.

소개

The ggplot2 skill empowers Claude to act as a specialist in R data visualization, specifically optimized for the major advancements in ggplot2 4.0. It provides comprehensive support for the S7 class migration, advanced theme customization using ink and paper properties, and streamlined theme shortcuts. By integrating deep knowledge of the grammar of graphics, this skill assists developers in creating publication-quality plots, managing complex faceting layouts, and utilizing new statistical transformations like stat_manual and stat_connect.

주요 기능

Automated labeling via data frame attributes and dictionary mapping
1 GitHub stars
Advanced theme styling with ink, paper, and accent property defaults
Comprehensive support for ggplot2 4.0 S7 class property access
Streamlined theme_sub_* shortcuts for concise axis and legend control
Advanced facet control including directional wrapping and free space layouts

사용 사례

Migrating legacy R plotting scripts to the modern ggplot2 4.0 S7 standard
Designing complex, branded visualization themes for professional reports
Implementing custom statistical layers and connections for specialized data analysis

소개

주요 기능

Automated labeling via data frame attributes and dictionary mapping
1 GitHub stars
Advanced theme styling with ink, paper, and accent property defaults
Comprehensive support for ggplot2 4.0 S7 class property access
Streamlined theme_sub_* shortcuts for concise axis and legend control
Advanced facet control including directional wrapping and free space layouts

사용 사례

Migrating legacy R plotting scripts to the modern ggplot2 4.0 S7 standard
Designing complex, branded visualization themes for professional reports
Implementing custom statistical layers and connections for specialized data analysis