what is the basic meaning and relation between skewness and kurtosis?
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They are both numerical measures of shape of the distribution: skewness tells you the amount and direction of skew (departure from horizontal symmetry), and kurtosis tells you how tall and sharp the central peak is, relative to a standard bell curve.
•If skewness is less than −1 or greater than +1, the distribution is highly skewed.
•If skewness is between −1 and −½ or between +½ and +1, the distribution is moderately skewed.
•If skewness is between −½ and +½, the distribution is approximately symmetric
so is 1 the determinant?
A zero value indicates that the values are relatively evenly distributed on both sides of the mean, typically but not necessarily implying a symmetric distribution.