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This video tutorial, part of a series on basic statistics, covers the topic of log transformation. The purpose of this transformation is to reshape data to better fit the assumptions of linear regression. The video emphasizes the importance of having data in a normal shape for the linear regression algorithm to perform well. It distinguishes between right-skewed and left-skewed data, indicating the goal of transforming data for better performance in regression analysis. The viewer is encouraged to watch previous videos in the series for a better understanding. Like, comment, and subscribe for more content.