What are the difference between data-driven hypothesis and theory-driven hypothesis?

A data-driven hypothesis is generated based on patterns observed in the data without pre-existing theoretical expectations, while a theory-driven hypothesis is generated based on existing theories or prior knowledge. Data-driven hypotheses are more exploratory and can lead to the development of new theories, while theory-driven hypotheses are more focused and aim to test specific theoretical predictions.