pandas-skill

What problem does it solve?

This Skill eliminates manual, error-prone spreadsheet work by providing automated pandas-based routines to clean messy tabular datasets, summarize data quality, and transform data into analysis-ready formats.

Core Features & Use Cases

• Data Cleaning: Handle missing values, remove duplicates, standardize column names, and remove outliers using IQR or Z-score rules.
• Data Analysis: Produce a structured report including data types, missing value diagnostics, numeric summaries, categorical stats, correlation findings, and outlier detection.
• Data Transformation: Convert between common tabular formats, merge datasets, filter rows using pandas query syntax, sort records, and select specific columns.
• Reference Docs: Use curated guides for common pandas operations and cleaning best practices to choose robust approaches.

Quick Start

Use the pandas-skill to generate a data quality and summary report from the attached file 'your_data.csv' by running an analyzer command that writes a JSON report to disk.