计算中位数和平均值

计算中位数和平均值

我有一个按州和县计数的数据集,我想按州和县计算中位数和平均值,例如:

有:

ID  state    county  count
1   MD       aa          2
2   MD       aa          4
3    VA        bb         1
4    VA        bb         2
5    VA        bb         4
6    VA        cc          7
7    VA        cc          8

想:

hadoop - Hive按组计算中位数和平均值-LMLPHP

到目前为止,给我的错误是:
Select id,  STATE,COUNTY,count,
percentile(cast(count as BIGINT), 0.5) OVER() as overall_median,
round(avg(count),2) OVER() as overall_avg,

percentile(cast(count as bigint),0.5) OVER(PARTITION BY id,STATE) as med_state,
percentile(cast(count as bigint),0.5) as med_county,

AVG(count) OVER (PARTITION BY id, STATE) as avg_state,
AVG(count) AS avg_county,
from have
group by id, state, county

不使用组时收到错误:



不带组的代码:
Select id,  STATE,county,count,
percentile(cast(count as BIGINT), 0.5) OVER() as overall_median,
round(avg(count),2) OVER() as overall_avg,

percentile(cast(count as bigint),0.5) OVER(PARTITION BY id,STATE) as med_state,
percentile(cast(count as bigint),0.5) OVER(PARTITION BY id,STATE,county) as med_county,


AVG(count) OVER (PARTITION BY id, STATE) as avg_state,
AVG(count) OVER (PARTITION BY id, STATE, county) as avg_county,
from have

谢谢!

最佳答案

修复:回合(avg(count)OVER(),2)

    select
        id, STATE, county, count,
        percentile(cast(count as BIGINT), 0.5) OVER() as overall_median,
        round(avg(count) OVER(), 2) as overall_avg,

        percentile(cast(count as bigint), 0.5) OVER(PARTITION BY id, STATE) as med_state,
        percentile(cast(count as bigint), 0.5) OVER(PARTITION BY id, STATE, county) as med_county,

        AVG(count) OVER (PARTITION BY id, STATE) as avg_state,
        AVG(count) OVER (PARTITION BY id, STATE, county) as avg_county
    from
        have

提示:请勿将关键字(即计数)用作列名-将来会遇到很多问题

关于hadoop - Hive按组计算中位数和平均值,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/60420645/

10-11 20:52