Data Visualization

关于

This skill empowers researchers to create professional, high-resolution figures suitable for peer-reviewed manuscripts, grant proposals, and presentations. It streamlines the visualization process by automatically applying best practices such as color-blind friendly palettes, legible typography, and appropriate statistical representations like 95% confidence intervals. By supporting a wide range of chart types—from distribution plots to time-series graphs—it ensures that complex data is presented with clarity and technical precision, meeting the rigorous standards of scientific communication.

主要功能

• Enforces academic standards for statistical markers and 95% CI error bars
• 2 GitHub stars
• Applies accessible design principles like color-blind palettes and minimal chart junk
• Standardizes axis labeling and font sizes for maximum legibility
• Produces high-resolution outputs in vector formats such as PDF and SVG
• Creates diverse figure types including violin plots, box plots, and scatter correlations

使用场景

• Generating exploratory visualizations during the initial data analysis phase
• Preparing publication-ready figures for scientific journal submissions
• Creating high-impact charts for grant applications and technical presentations