raincloud-viz
CommunityHonest raincloud plots for data distribution.
Authorpenghang1223
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Traditional bar charts with error bars often hide the true distribution of data, masking multimodality, skew, and outliers. Raincloud Viz addresses this by combining a half violin, a boxplot, and jittered points to show full distributions in a compact form.
Core Features & Use Cases
- Three-in-one visualization: half violin density + boxplot summary + jittered scatter for every observation.
- Backend-flexible: works with Plotly (interactive), Seaborn, or Matplotlib backends.
- Use cases include A/B test comparisons, multi-group analytics, and distribution diagnostics in reports.
Quick Start
Run the demo to see ready-made raincloud plots and then supply your own data via the --data flag.
Dependency Matrix
Required Modules
numpy
Components
scripts
💻 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: raincloud-viz Download link: https://github.com/penghang1223/niannian-workspace/archive/main.zip#raincloud-viz Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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