Extending GouDa: Generation of Universal Datasets with (and without) Errors for Data Quality Benchmarking

Valerie Restat, André Conrad, Kevin M. Kramer +1

Synthetic data is extremely important in areas such as data quality, data cleaning, and machine learning. It enables the analysis of use cases in which real data is insufficient, u…