with tb1 as(
    select uid, date(in_time) dt from tb_user_log
    union all
    select uid, date(out_time) dt from tb_user_log)

select tb3.dt, round(count(tb4.uid)/count(tb3.uid),2)
from
(select distinct uid, dt from(
select uid, dt, min(dt)over(partition by uid) min_dt from tb1) tb2
where dt=min_dt) tb3
left join 
(select distinct uid, dt from tb1) tb4
on tb3.uid=tb4.uid and datediff(tb4.dt,tb3.dt)=1
where date_format(tb3.dt,'%Y%m')='202111'
group by tb3.dt
order by tb3.dt

#思路:
#①因可能跨天活跃,所以将in_time和out_time先用union联立,形成表tb1备用;
#②找出新用户表,即min_dt=dt,形成tb3;
#③找出新用户次日活跃的数据,即将tb2与用户表左连接,加入连接条件:日期相差1天;
#④根据日期分组,计算即可。