Exploratory Data Analysis

Overview

EDA is a process for discovering patterns, anomalies, and relationships in data. Analyze CSV/Excel/JSON/Parquet files to generate statistical summaries, distributions, correlations, outliers, and visualizations. All outputs are markdown-formatted for integration into workflows.

When to Use This Skill

This skill should be used when:

• User provides a data file and requests analysis or exploration
• User asks to "explore this dataset", "analyze this data", or "what's in this file?"
• User needs statistical summaries, distributions, or correlations
• User requests data visualizations or insights
• User wants to understand data quality issues or patterns
• User mentions EDA, exploratory analysis, or data profiling

Supported file formats: CSV, Excel (.xlsx, .xls), JSON, Parquet, TSV, Feather, HDF5, Pickle

Quick Start Workflow