Data Exploration Visualization

Automates the full EDA pipeline from data loading through statistical analysis, visualization, and HTML report generation. Built around Chinese data science curriculum ("数据分析咖哥十话") with particular depth in medical data analysis including ICD-10 coding and biomarker handling. Supports 20+ chart types through matplotlib, seaborn, and plotly, plus automated modeling with logistic regression, random forest, and XGBoost. The medical focus is interesting but might be overkill if you're just exploring e-commerce data. Best for teams that need repeatable, documented analysis workflows rather than ad-hoc exploration. Fair warning, it bundles a lot of dependencies including weasyprint for PDF generation, so expect some setup overhead.