Log transformation is a mathematical technique used to convert data into a logarithmic scale, which helps stabilize variance and normalize the distribution of data. This transformation is particularly useful when dealing with skewed data or data that spans several orders of magnitude, making it easier to meet the assumptions required for various statistical analyses. By applying log transformation, researchers can better visualize relationships and improve the interpretability of their results.
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