What is the result of applying a log transformation to a right-skewed numerical feature?

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Log transformation is a power transformation that compresses the long tail of a right-skewed distribution, effectively pulling extreme values closer to the center. This often results in a distribution that is closer to Gaussian (normal), which is a requirement for many linear machine learning algorithms.