本文介绍了如何在单个Teradata查询中输出不同的25%,50%,75%?的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我花了几个小时来回想类似的事情,并弄出了一个不太混乱的代码,可以在一个Teradata查询中输出25、50、75%百分位.可以进一步扩展以生成" 5分摘要".根据您的人口估算值获取最小和最大变化静态值.
I had got stuck few hours back on around something similar and worked out a less messy code for outputting 25th, 50th, 75th percentiles in a single Teradata query. Can be further extended to produce a "5 point summary". For minimum and maximum change static values according to your population estimate.
某处有人要求一种优雅的方法.分享我的.
Somewhere someone had asked for an elegant approach. Sharing mine.
代码如下:
SELECT MAX(PER_MIN) AS PER_MIN,
MAX(PER_25) AS PER_25,
MAX(PER_50) AS PER_50,
MAX(PER_75) AS PER_75,
MAX(PER_MAX) AS PER_MAX
FROM (SELECT CASE WHEN ROW_NUMBER() OVER(ORDER BY DURATION_MACRO_CURR ASC) = CAST(COUNT(*) OVER() * 0.01 AS INT) THEN DURATION_MACRO_CURR END AS PER_MIN,
CASE WHEN ROW_NUMBER() OVER(ORDER BY DURATION_MACRO_CURR ASC) = CAST(COUNT(*) OVER() * 0.25 AS INT) THEN DURATION_MACRO_CURR END AS PER_25,
CASE WHEN ROW_NUMBER() OVER(ORDER BY DURATION_MACRO_CURR ASC) = CAST(COUNT(*) OVER() * 0.50 AS INT) THEN DURATION_MACRO_CURR END AS PER_50
CASE WHEN ROW_NUMBER() OVER(ORDER BY DURATION_MACRO_CURR ASC) = CAST(COUNT(*) OVER() * 0.75 AS INT) THEN DURATION_MACRO_CURR END AS PER_75
CASE WHEN ROW_NUMBER() OVER(ORDER BY DURATION_MACRO_CURR ASC) = CAST(COUNT(*) OVER() * 0.99 AS INT) THEN DURATION_MACRO_CURR END AS PER_MAX
FROM PROD_EXP_DL_CVM.PROD_CVM
WHERE PW_END_DATE = '2016-10-18'
) BASE
这是所需的输出:
推荐答案
我将使用条件聚合来做到这一点:
I would do this using conditional aggregation:
select min(DURATION_MACRO_CURR) as min_val,
min(case when seqnum / 0.25 >= cnt then DURATION_MACRO_CURR end) as 25_percentile,
min(case when seqnum / 0.50 >= cnt then DURATION_MACRO_CURR end) as 50_percentile,
min(case when seqnum / 0.75 >= cnt then DURATION_MACRO_CURR end) as 75_percentile,
max(DURATION_MACRO_CURR) as max_val
from (select pc.*,
row_number() over (order by DURATION_MACRO_CURR) as seqnum,
count(*) over () as cnt
from PROD_EXP_DL_CVM.PROD_CVM pc
where pc.PW_END_DATE = '2016-10-18'
) pc;
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