Is a high variance in data good or bad?

 - High variance in data can be both good and bad, depending on the context.

   - Good: It can capture a wide range of variability and details in the data, which is useful when the data is complex and you want to model fine-grained patterns.

   - Bad: High variance can lead to overfitting, where the model fits the noise in the data and does not generalize well to unseen data. It can also make the model less interpretable.