Chaos

Create dirty datasets out of clean datasets

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February 1, 2025 Motivation for Creating Chaos

Real-world data is often messy and complex, quickly becoming overwhelming for individuals seeking to improve their data cleaning and management skills.

Accessing authentic, messy datasets can be challenging. Most datasets available on platforms like Kaggle and other repositories are pre-cleaned, far removed from the realities of working with raw data.

To address this gap, we developed Chaos—a web application designed to generate messy datasets from clean data. Inspired by Nicola Rennie's brilliant work in the messy R package, this tool is ideal for data scientists, educators, and developers who want to stress-test their data pipelines or teach data cleaning in a controlled environment.

chaos.learndata.xyz

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Accessing authentic, messy datasets can be challenging, as most datasets available on platforms like Kaggle and other repositories are pre-cleaned. To address this gap, we developed Chaos.