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Archives of the TeradataForumMessage Posted: Fri, 22 Aug 2008 @ 16:00:06 GMT
<-- Anonymously Posted: Fri, 22 Aug 2008 16:58 --> hi Phil here's my idea: instead of labeling each row, you can build categories. if you need the labels, then put them into a table and join it. sel substr(date,1,7) Yr_Month, Svc_Ownr_Cd, Bucket, case when cl_amt = 0 and curr_bal > cl_amt then -20 when curr_bal <= cl_amt then -10 when 100 * (curr_bal - cl_amt) / cl_amt > 25 then 25 else cast(((100 * (curr_bal - cl_amt) / cl_amt) / 5) as integer)*5 -- build categories end as OL_Pct, c.label count(1) Number from Table t join category_labels c on t.PL_Pct = c.category where ... group by 1,2,3,4.5 create table category_labels (category, label) -20, '(0) CL=0 & Bal>CL' -10, '(1) not OL' 0, '(2) <= 10%' 10, '(3) <= 15%' ... 25, '(6) > 25%' hope that helps. cheers
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