Positively Skewed
Positively skewed is a term used in statistics to describe the shape of a distribution. A distribution is positively skewed if it has a long tail on the right-hand side, which means that the majority of the data is concentrated on the left-hand side of the distribution. In other words, the mean is greater than the median. In data science, positively skewed data can be a challenge because it can lead to biased results. It is important to identify and address positively skewed data in order to ensure accurate analysis and modeling.
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