Foundations of Data Science
Log transformation is a mathematical technique used to convert skewed data into a more normalized distribution by applying the logarithm function to each data point. This transformation is especially useful in addressing issues related to heteroscedasticity and making the data more suitable for various statistical analyses, thereby enhancing the interpretability and reliability of results.
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