尽管查询的输出看起来相当简单，但编写一个内联视图来生成可在外部select中使用的值（例如使用示例表）可能是一个优势
表和数据

create table example ( id,  day_ )
as
select 1, date '2020-02-02' from dual union all --  2-2-20
select 2, date '2020-01-03' from dual union all --  3-1-20
select 3, date '2020-02-15' from dual union all -- 15-2-20
select 4, date '2020-03-20' from dual           -- 20-3-20
;

第一步（将其用于“内联视图”）

select
    to_char( day_, 'MM-YY') month_
  , to_char( extract ( day from last_day( day_ ) ) ) lastday_
  , count(*) over ( order by to_char( day_, 'MM-YY') ) runningtotal_
  , row_number() over ( partition by  to_char( day_, 'MM-YY')  order by day_ ) rn_
  from example ;

-- result
+------+--------+-------------+---+
|MONTH_|LASTDAY_|RUNNINGTOTAL_|RN_|
+------+--------+-------------+---+
|01-20 |31      |1            |1  |
|02-20 |29      |3            |1  |
|02-20 |29      |3            |2  |
|03-20 |31      |4            |1  |
+------+--------+-------------+---+

最终查询

select
  month_
, runningtotal_ rows_num
, round( max( rn_ )  / lastday_, 5 ) avg_per_day
, to_char( max( rn_ )  ) || '/' || to_char( lastday_ ) avg_per_day
from (
  select
    to_char( day_, 'MM-YY') month_
  , to_char( extract ( day from last_day( day_ ) ) ) lastday_
  , count(*) over ( order by to_char( day_, 'MM-YY') ) runningtotal_
  , row_number() over ( partition by  to_char( day_, 'MM-YY')  order by day_ ) rn_
  from example
)
group by month_, runningtotal_, lastday_
order by month_
;

-- result 
+------+--------+-----------+-----------+
|MONTH_|ROWS_NUM|AVG_PER_DAY|AVG_PER_DAY|
+------+--------+-----------+-----------+
|01-20 |1       |0.03226    |1/31       |
|02-20 |3       |0.06897    |2/29       |
|03-20 |4       |0.03226    |1/31       |
+------+--------+-----------+-----------+

在这儿摆弄。
注意：我不太清楚你需要哪种形式的“平均每天”。只需从外部选择中删除不需要的行。

您可以使用：

select to_char(time, 'yyyy-mm') as month,
       sum(count(*)) over (order by min(time)) as rows_num,
       count(*) / extract(day from last_day(time))
from t
group by to_char(time, 'yyyy-mm'), extract(day from last_day(time))
order by min(time);

我格式化了一个月有点不同，但你可以格式化任何你喜欢的。