What is Chaos?
Most publicly available datasets are pre-cleaned, making it difficult to practice data cleaning and management skills with authentic, raw data. To bridge this gap, we developed Chaos—a web application that generates messy datasets from clean data.
Problem
Most publicly available datasets are pre-cleaned
lack of authentic, raw data for practice
Solution
web application that generates messy datasets from clean data, allowing users to practice data cleaning and management skills
Customers
Data scientists, data analysts, and students in data-related fields looking to improve their data management skills
Unique Features
Capability to generate messy datasets from existing clean data for educational and training purposes
User Comments
Useful for learning data cleaning
Helps in understanding real-world data complexities
Great for training purposes
Easy to integrate with existing datasets
Filling a niche gap in data science education
Traction
No specific quantitative data available from provided sources
Market Size
The global data preparation tools market size was valued at $1.46 billion in 2020 and is expected to grow at a compound annual growth rate (CAGR) of 18.65% from 2021 to 2028
