Can I use this for grant proposals?

Yes, the skill is designed to produce clear, professional-grade visuals that meet the rigorous requirements of grant applications and professional presentations.

How does it ensure charts are accessible?

The skill automatically uses color-blind friendly palettes and ensures that font sizes and line weights remain legible and grayscale-compatible.

Does it handle statistical significance in charts?

Yes, it follows best practices by adding significance asterisks to plots and including p-values within the captions.

What file formats does the Data Visualization skill support?

The skill prioritizes high-resolution vector formats like PDF and SVG for publication quality, but can also generate 300 DPI raster images.

Is this skill suitable for exploratory data analysis (EDA)?

Absolutely. It includes specific patterns for distribution checks, including histograms, density plots, and Q-Q plots for normality.

Data Visualization

Name: Data Visualization
Author: astoreyai

byastoreyai

•

Ciencia de Datos y ML

Generates publication-quality scientific figures and data visualizations following academic design standards.

The Data Visualization skill empowers Claude to automate the creation of sophisticated, high-resolution figures optimized for research manuscripts, grant proposals, and professional presentations. It streamlines the plotting process from exploratory data analysis to final production, ensuring all visuals adhere to rigorous design principles such as color-blind friendly palettes, appropriate statistical representations (95% CI), and specific font requirements. Whether you need distribution checks with Q-Q plots or complex relationship mapping through scatter plots, this skill ensures your data is presented with clarity, precision, and professional aesthetic.

Características Principales

01Implements best practices for statistical reporting, including error bars and significance asterisks.

02Optimizes visual accessibility using color-blind friendly palettes and grayscale compatibility.

032 GitHub stars

04Supports a wide array of plot types including violin plots, box plots, and time-series line graphs.

05Enforces academic standards with high-resolution (300+ DPI) and vector format (PDF, SVG) exports.

06Automates exploratory data analysis with automated histograms and normality distribution checks.

Casos de Uso

01Preparing high-impact figures for peer-reviewed journal manuscripts and academic submissions.

02Conducting rapid exploratory data analysis to identify trends and correlations in complex datasets.

03Generating professional visual assets for grant applications and stakeholder presentations.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add astoreyai/ai_scientist data-visualization

For use in Claude.ai and ChatGPT

Download Skill