Why might one use a log transformation on a dataset in data transformation techniques?

To handle outliers and skewed data
To improve data encryption
To make data non-linear
To reduce data volume

Log transformation is often used in data transformation techniques to handle datasets with skewed distributions and outliers. It helps in making the data more symmetric and conforming to assumptions of statistical models. Additionally, it can reveal patterns that may not be evident in the original data.

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