exploratory-data-analysis
✓Analyze datasets to discover patterns, anomalies, and relationships. Use when exploring data files, generating statistical summaries, checking data quality, or creating visualizations. Supports CSV, Excel, JSON, Parquet, and more.
Installation
SKILL.md
Discover patterns, anomalies, and relationships in tabular data through statistical analysis and visualization.
Supported formats: CSV, Excel (.xlsx, .xls), JSON, Parquet, TSV, Feather, HDF5, Pickle
Creates high-resolution (300 DPI) PNG files in output/edavisualizations/:
Analyze datasets to discover patterns, anomalies, and relationships. Use when exploring data files, generating statistical summaries, checking data quality, or creating visualizations. Supports CSV, Excel, JSON, Parquet, and more. Source: jackspace/claudeskillz.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/jackspace/claudeskillz --skill exploratory-data-analysis- Source
- jackspace/claudeskillz
- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-17
- Updated
- 2026-02-18
Quick answers
What is exploratory-data-analysis?
Analyze datasets to discover patterns, anomalies, and relationships. Use when exploring data files, generating statistical summaries, checking data quality, or creating visualizations. Supports CSV, Excel, JSON, Parquet, and more. Source: jackspace/claudeskillz.
How do I install exploratory-data-analysis?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/jackspace/claudeskillz --skill exploratory-data-analysis Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/jackspace/claudeskillz
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-17