select i_item_id,
       ca_country,
       ca_state,
       ca_county,
       avg(cast(cs_quantity as decimal(12, 2)))      agg1,
       avg(cast(cs_list_price as decimal(12, 2)))    agg2,
       avg(cast(cs_coupon_amt as decimal(12, 2)))    agg3,
       avg(cast(cs_sales_price as decimal(12, 2)))   agg4,
       avg(cast(cs_net_profit as decimal(12, 2)))    agg5,
       avg(cast(c_birth_year as decimal(12, 2)))     agg6,
       avg(cast(cd1.cd_dep_count as decimal(12, 2))) agg7
from catalog_sales,
     customer_demographics cd1,
     customer_demographics cd2,
     customer,
     customer_address,
     date_dim,
     item
where cs_sold_date_sk = d_date_sk
  and cs_item_sk = i_item_sk
  and cs_bill_cdemo_sk = cd1.cd_demo_sk
  and cs_bill_customer_sk = c_customer_sk
  and cd1.cd_gender = 'F'
  and cd1.cd_education_status = 'Unknown'
  and c_current_cdemo_sk = cd2.cd_demo_sk
  and c_current_addr_sk = ca_address_sk
  and c_birth_month in (1, 6, 8, 9, 12, 2)
  and d_year = 1998
  and ca_state in ('MS', 'IN', 'ND', 'OK', 'NM', 'VA', 'MS')
group by rollup (i_item_id, ca_country, ca_state, ca_county)
order by ca_country,
         ca_state,
         ca_county,
         i_item_id limit 100