Data Analyst Skill

AI-powered data analysis workflow — from data ingestion to interactive HTML report generation.

Features

• Multi-format support: CSV, Excel, JSON, SQLite
• 4-layer data quality audit: Health check → Structure integrity → Business rules → Model readiness
• Automated EDA: Distribution analysis, correlation, outlier detection, statistical summaries
• Rich visualizations: Histograms, boxplots, heatmaps, pair plots, categorical breakdowns
• Interactive HTML report: Scorecards, charts, data tables, actionable insights
• Business rules engine: YAML-configurable domain validation

Quick Start

pip install pandas numpy matplotlib seaborn scipy pyyaml

# Analyze a CSV file
python scripts/run_analysis.py data.csv

# With target column and named report
python scripts/run_analysis.py sales.csv --target revenue --name "Sales Analysis"

# With business rules validation
python scripts/run_analysis.py data.csv --rules config/business_rules.yaml

# Sample large datasets
python scripts/run_analysis.py big_data.csv --sample 50000

Pipeline

Load → Audit (4-layer) → Clean → EDA → Visualize → Report

Skill for WorkBuddy

This is a WorkBuddy skill. Used within WorkBuddy, trigger words include: 分析数据、数据分析、数据报告、EDA、analyze data

License

MIT