sdv-synthetic-data

What problem does it solve?

This Skill automates the generation of synthetic data, enabling users to create realistic datasets for testing, development, or analysis without compromising privacy.

Core Features & Use Cases

• Synthetic Data Generation: Create privacy-preserving synthetic data that mimics the patterns of real data.
• Single-Table & Multi-Table Generation: Supports generating data for both individual tables and relational databases.
• Time-Series Data: (Currently unsupported by existing scripts, but can be extended).
• Quality Evaluation: Assess the quality of generated synthetic data against real data.
• Use Case: A financial institution needs to test a new fraud detection model. They can use this Skill to generate a large, realistic synthetic dataset of transactions that mirrors their real data's statistical properties, without exposing sensitive customer information.

Quick Start

Use the sdv-synthetic-data skill to generate 1000 rows of synthetic data from the file 'customer_data.csv'.