code: def aggregate_detail(slug_list, with_data_table=False):
      
      r = get_r()
      metrics_data = []
      granularities = r._granularities()
  
      # XXX converting granularties into their key-name for metrics.
      keys = ['seconds', 'minutes', 'hours', 'day', 'week', 'month', 'year']
      key_mapping = {gran: key for gran, key in zip(GRANULARITIES, keys)}
      keys = [key_mapping[gran] for gran in granularities]
  
      # Our metrics data is of the form:
      #
      #   (slug, {time_period: value, ... }).
      #
      # Let's convert this to (slug, list_of_values) so that the list of
      # values is in the same order as the granularties
      for slug, data in r.get_metrics(slug_list):
          values = [data[t] for t in keys]
          metrics_data.append((slug, values))
  
      return {
          'chart_id': "metric-aggregate-{0}".format("-".join(slug_list)),
          'slugs': slug_list,
          'metrics': metrics_data,
          'with_data_table': with_data_table,
          'granularities': [g.title() for g in keys],
      }
docs: Template Tag to display multiple metrics.
  
      * ``slug_list`` -- A list of slugs to display
      * ``with_data_table`` -- if True, prints the raw data in a table.