Explain the concept of skewness. How does it help in analyzing the data?

Skewness is a statistical measure that refers to the asymmetry of a distribution, or the degree to which the data is not symmetrical around its mean. In other words, it is a measure of how much the shape of a distribution deviates from a normal, or bell-shaped, curve. Skewness can take on positive, negative, or zero values, depending on the shape of the distribution.

Positive skewness occurs when the tail of a distribution extends to the right, and the majority of the data is clustered to the left. This indicates that the distribution has a few extremely high values that are pulling the mean towards the right. Negative skewness occurs when the tail of a distribution extends to the left, and the majority of the data is clustered to the right. This indicates that the distribution has a few extremely low values that are pulling ____ ________ ______ ____ _______ ____ __________ ___.
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