def _calc_kurtosis(self):
        data, s_dev = self.data, self.std_dev
        if len(data) > 1 and s_dev > 0:
            return (sum(self._get_pow_diffs(4)) /
                    float((len(data) - 1) * (s_dev ** 4)))
        else:
            return 0.0
Indicates how much data is in the tails of the distribution. The
dataset/ETHPy150Open mahmoud/boltons/boltons/statsutils.py/Stats._calc_kurtosis