Exploratory Data Analysis Toolkit

关于

This skill equips Claude with a robust suite of data science tools to perform automated Exploratory Data Analysis (EDA) on various file formats including CSV, Excel, Parquet, and JSON. It streamlines the analytical workflow by generating detailed statistical summaries, identifying outliers, detecting correlations, and producing production-ready visualizations. Designed for data scientists and analysts, it transforms raw data files into structured markdown reports and actionable intelligence, facilitating rapid data profiling and quality assessment directly within the Claude environment.

主要功能

• Intelligent outlier detection and comprehensive data quality assessment
• 16 GitHub stars
• Automated markdown report generation using professional insight templates
• Multi-format data support including CSV, Excel, JSON, Parquet, and HDF5
• High-quality visualization suite featuring heatmaps, scatter matrices, and box plots
• Automated statistical summaries, distribution analysis, and normality tests

使用场景

• Statistical validation and hypothesis testing during scientific research or business analysis
• Initial data profiling for new datasets to identify quality issues and missing values
• Generating comprehensive visual data reports for stakeholders and project documentation