with sector_level as (select raw.yearweek as weekly , n.site_id , n.sector , n.band , ndp(sum(num_dl_prb_utilization_percent), sum(denum_dl_prb_utilization_percent)) as dl_prb_utilization , ndp(sum(num_ul_prb_utilization_percent), sum(denum_ul_prb_utilization_percent)) as ul_prb_utilization from r11.meas_4g_daily_bh_activeuser raw join network_cell n on raw.network_cell_id = n.id where date between '2023-12-01' and '2023-12-07' group by raw.yearweek , n.site_id , n.sector , n.band order by site_id, sector, weekly) select weekly , site_id , sector , avg(case when band = 'LTE900' then dl_prb_utilization end) as LTE900 , avg(case when band = 'LTE1800' then dl_prb_utilization end) as LTE1800 , avg(case when band = 'LTE2100' then dl_prb_utilization end) as LTE2100 , avg(case when band = 'LTE2300 F1' then dl_prb_utilization end) as LTE2300_F1 , avg(case when band = 'LTE2300 F2' then dl_prb_utilization end) as LTE2300_F2 , avg(case when band = 'LTE2300 F3' then dl_prb_utilization end) as LTE2300_F3 , max(dl_prb_utilization) as max_prb , min(dl_prb_utilization) as min_prb , max(dl_prb_utilization) - min(dl_prb_utilization) as delta_prb , case when max(dl_prb_utilization) - min(dl_prb_utilization) > 50 then '>50%' when max(dl_prb_utilization) - min(dl_prb_utilization) < 30 then 'balance' else '30-50%' end as remark from sector_level group by weekly, site_id, sector order by site_id, sector, weekly ;