How can you get a histogram of counts from a join table without using a subquery?

I have a lot of tables that look like this: (id, user_id, object_id). I am often interested in the question "how many users have one object? how many have two? etc." and would like to see the distribution.

The obvious answer to this looks like:

select x.ucount, count(*) 
from (select count(*) as ucount from objects_users group by user_id) as x 
group by x.ucount 
order by x.ucount;

This produces results like:

ucount | count
-------|-------
1      | 15
2      | 17
3      | 23
4      | 104
5      | 76
7      | 12

Using a subquery here feels inelegant to me and I'd like to figure out how to produce the same result without. Further, if the question you're trying to ask is slightly more complicated it gets messy passing more information out of the subquery. For example, if you want the data further grouped by the user's creation date:

select 
    x.ucount, 
    (select cdate from users where id = x.user_id) as cdate, 
    count(*) 
from (
    select user_id, count(*) as uc开发者_开发知识库ount 
    from objects_users group by user_id
) as x 
group by cdate, x.ucount,  
order by cdate, x.ucount;

Is there some way to avoid the explosion of subqueries? I suppose in the end my objection is aesthetic, but it makes the queries hard to read and hard to write.

I think a subquery is exactly the appropriate way to do this, regardless of your RDBMS. Why would it be inelegant?

For the second query, just join the users table like this:

SELECT
 x.ucount,
 u.cdate,
 COUNT(*)
FROM (
 SELECT
  user_id,
  COUNT(*) AS ucount
 FROM objects_users
 GROUP BY user_id
) AS x
LEFT JOIN users AS u
 ON x.user_id = u.id
GROUP BY u.cdate, x.ucount
ORDER BY u.cdate, x.ucount