Example Analysis Skill

关于

Acts as a foundational template for data science workflows within Claude Code, offering structured guidance for analyzing datasets from scratch. It leads users through a comprehensive process involving data cleaning with Pandas, statistical computation with NumPy, and the creation of publication-quality figures with Matplotlib. This skill is particularly useful for maintaining consistency across analytical tasks by enforcing best practices for data quality, reproducibility through random seeds, and systematic documentation of findings.

主要功能

• Standardized data preparation and exploration procedures using Pandas and NumPy
• Comprehensive quality assurance checklists for data integrity and statistical assumptions
• Production-grade visualization templates for generating high-resolution distribution charts
• Automated statistical analysis workflows for calculating means, standard deviations, and medians
• 0 GitHub stars
• Standardized output formatting for TSV result tables and graphical assets

使用场景

• Creating reproducible data science pipelines with structured documentation and quality checks
• Generating consistent statistical reports and visual charts for business or research projects
• Performing initial exploratory data analysis on raw CSV or tabular datasets