def METHOD_NAME(self):
    def format_val(val):
        return self.no_value if val is None else val
    def avg(values, idx=None):
        sum = 0
        denom = 0
        for v in values:
            if idx == 10:
                numbers = re.split(r'/|\s|%', v['html'])
                sum += int(numbers[0])
                if int(numbers[1]) > denom:
                    denom = int(numbers[1])
            else:
                sum += v['sort_key'] if v is not None else 0
        mean = (float(sum) / float(len(values)))
        if idx == 10:
            try:
                percent = mean * 100 / denom
            except ZeroDivisionError:
                percent = 0
            html = "{0}/{1} ({2}%)".format(int(mean), int(denom), int(percent))
            return format_datatables_data(html, percent)
        mean = "%.0f" % mean
        return format_datatables_data(mean, mean)
    data = []
    config = self.report_config
    for i in range(0, 3):
        config['enddate'] = (
            config['startdate'] + relativedelta(months=1) - relativedelta(days=1)
        ).replace(hour=23, minute=59, second=59)
        for index, row_data in ASHAFacilitatorsData(config).data.items():
            data.append(row_data)
        config['startdate'] += relativedelta(months=1)
    METHOD_NAME = [[
        column.header,
        format_val(column.get_value(data[2])),
        format_val(column.get_value(data[1])),
        format_val(column.get_value(data[0])),
        avg([column.get_value(data[2]), column.get_value(data[1]), column.get_value(data[0])], idx)
    ] for idx, column in enumerate(self.model.columns[2:])]
    total = [self.model.columns[0].get_raw_value(d) for d in data]
    reporting = [self.model.columns[1].get_raw_value(d) for d in data]
    not_reporting = [format_datatables_data(i - (j or 0), i - (j or 0)) for i, j in zip(total, reporting)]
    METHOD_NAME.append([_("<b>Total number of ASHAs who did not report/not known</b>")] + not_reporting +
                [avg(not_reporting)])
    return METHOD_NAME, sum(total) // len(total)