def genderStats(self, asFractions = False):
        """Creates a dict (`{'Male' : maleCount, 'Female' : femaleCount, 'Unknown' : unknownCount}`) with the numbers of male, female and unknown names in the collection.

        # Parameters

        _asFractions_ : `optional bool`

        > Default `False`, if `True` the counts will be divided by the total number of names, giving the fraction of names in each category instead of the raw counts.

        # Returns

        `dict[str:int]`

        > A dict with three keys `'Male'`, `'Female'` and `'Unknown'` mapping to their respective counts
        """

        maleCount = 0
        femaleCount = 0
        unknownCount = 0
        for R in self:
            m, f, u = R.authGenders(_countsTuple = True)
            maleCount += m
            femaleCount += f
            unknownCount += u
        if asFractions:
            tot = maleCount + femaleCount + unknownCount
            return {'Male' : maleCount / tot, 'Female' : femaleCount / tot, 'Unknown' : unknownCount / tot}
        return {'Male' : maleCount, 'Female' : femaleCount, 'Unknown' : unknownCount}
Creates a dict (`{'Male' : maleCount, 'Female' : femaleCount, 'Unknown' : unknownCount}`) with the numbers of male, female and unknown names in the collection.

        # Parameters

        _asFractions_ : `optional bool`

        > Default `False`, if `True` the counts will be divided by the total number of names, giving the fraction of names in each category instead of the raw counts.

        # Returns

        `dict[str:int]`

        > A dict with three keys `'Male'`, `'Female'` and `'Unknown'` mapping to their respective counts