seaborn-statistical-plots
CommunityCreate stunning statistical visualizations.
Authorjaechang-hits
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill simplifies the creation of complex statistical visualizations, transforming raw data into insightful plots with minimal code.
Core Features & Use Cases
- Diverse Plot Types: Generates histograms, KDE plots, box plots, violin plots, scatter plots, line plots, heatmaps, and more.
- Data Integration: Seamlessly works with pandas DataFrames, automatically handling grouping and aggregation.
- Publication-Ready Figures: Produces aesthetically pleasing and informative plots suitable for reports and publications.
- Use Case: Visualize the distribution of gene expression levels across different experimental conditions, showing both summary statistics and individual data points.
Quick Start
Use the seaborn-statistical-plots skill to create a box plot comparing gene expression across conditions using the provided DataFrame.
Dependency Matrix
Required Modules
seabornmatplotlibpandasnumpyscipy
Components
scriptsreferencesassets
💻 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: seaborn-statistical-plots Download link: https://github.com/jaechang-hits/SciAgent-Skills/archive/main.zip#seaborn-statistical-plots Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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