Skewness in SPSS and exploring data distribution

Refers to asymmetry that deviates from the symmetrical bell curve, or normal distribution.
Skewness means Lacks of symmetry in distribution.
Skewness value can be positive, zero, negative.
In normal distribution, the value of skewness is zero.
Positive value of skewness indicates clustering the scores to the left of distribution.
Positive skewness, when tail is away from 0 toward positive values.
Negative value of skewness indicates clustering of the scores to the right of the distribution.
Negative Skewness, when tail is toward the 0 value.
The further the value is from zero the more likely that data are not normally distributed.