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分组计算练习题

[编程题]分组计算练习题
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题目:现在运营想要对每个学校不同性别的用户活跃情况和发帖数量进行分析,请分别计算出每个学校每种性别的用户数、30天内平均活跃天数和平均发帖数量。


用户信息表:user_profile
30天内活跃天数字段(active_days_within_30)
发帖数量字段(question_cnt)
回答数量字段(answer_cnt)
id device_id gender age university gpa active_days_within_30
question_cnt
answer_cnt
1 2138 male 21 北京大学 3.4 7 2 12
2 3214 male
复旦大学 4.0 15 5 25
3 6543 female 20 北京大学 3.2 12 3 30
4 2315 female 23 浙江大学 3.6 5 1 2
5 5432 male 25 山东大学 3.8 20 15 70
6 2131 male 28 山东大学 3.3 15 7 13
7 4321 male 26 复旦大学 3.6 9 6 52
第一行表示:id为1的用户的常用信息为使用的设备id为2138,性别为男,年龄21岁,北京大学,gpa为3.4在过去的30天里面活跃了7天,发帖数量为2,回答数量为12
。。。
最后一行表示:id为7的用户的常用信息为使用的设备id为4321,性别为男,年龄26岁,复旦大学,gpa为3.6在过去的30天里面活跃了9天,发帖数量为6,回答数量为52


你的查询返回结果需要对性别和学校分组,示例如下,结果保留1位小数,1位小数之后的四舍五入,查询出来的结果按照gender、university升序排列
gender university user_num avg_active_day avg_question_cnt
female 北京大学 1 12.0 3.0
female
浙江大学 1 5.0 1.0
male 北京大学 1 7.0 2.0
male
复旦大学 2 12.0 5.5
male 山东大学 2 17.5 11.0

解释:
第一行表示:北京大学的男性用户个数为1,平均活跃天数为12天,平均发帖量为3
。。。
最后一行表示:山东大学的男性用户个数为2,平均活跃天数为17.5天,平均发帖量为11
示例1

输入

drop table if exists user_profile;
CREATE TABLE `user_profile` (
`id` int NOT NULL,
`device_id` int NOT NULL,
`gender` varchar(14) NOT NULL,
`age` int ,
`university` varchar(32) NOT NULL,
`gpa` float,
`active_days_within_30` float,
`question_cnt` float,
`answer_cnt` float
);
INSERT INTO user_profile VALUES(1,2138,'male',21,'北京大学',3.4,7,2,12);
INSERT INTO user_profile VALUES(2,3214,'male',null,'复旦大学',4.0,15,5,25);
INSERT INTO user_profile VALUES(3,6543,'female',20,'北京大学',3.2,12,3,30);
INSERT INTO user_profile VALUES(4,2315,'female',23,'浙江大学',3.6,5,1,2);
INSERT INTO user_profile VALUES(5,5432,'male',25,'山东大学',3.8,20,15,70);
INSERT INTO user_profile VALUES(6,2131,'male',28,'山东大学',3.3,15,7,13);
INSERT INTO user_profile VALUES(7,4321,'male',28,'复旦大学',3.6,9,6,52);

输出

gender|university|user_num|avg_active_day|avg_question_cnt
female|北京大学|1|12.0|3.0
female|浙江大学|1|5.0|1.0
male|北京大学|1|7.0|2.0
male|复旦大学|2|12.0|5.5
male|山东大学|2|17.5|11.0
为什么这个不通过,看不出来哪里有问题  
SELECT gender,
        university,
        COUNT(*) AS user_num,
        AVG(active_days_within_30) AS avg_active_days,
        AVG(question_cnt) AS avg_question_cnt
FROM user_profile
GROUP BY gender,university
发表于 今天 10:43:13 回复(0)
select 
    gender,university,
    count(gender) as user_num,
    round(avg(active_days_within_30),1) as avg_active_day,
    round(avg(question_cnt),1) as avg_question_cnt
from 
    user_profile
group by 
    gender,university
order by gender asc;    # 对性别升序排列(顺序不对也是错)

发表于 2025-10-30 17:53:05 回复(0)
select gender
    , university
    , count(1) as user_num
    , round(avg(active_days_within_30), 1) as avg_active_day
    , round(avg(question_cnt), 1) as avg_question_cnt
from
    user_profile
group by
    university, gender
order by
    gender asc, university asc
;
发表于 2025-10-28 17:17:47 回复(0)
SELECT gender,university,COUNT(device_id) AS user_num,AVG(active_days_within_30) AS avg_active_day,AVG(question_cnt) AS avg_question_cnt
FROM user_profile
GROUP BY gender,university
这段代码有哪里错误吗?看着和答案没有什么出入,但是为什么还是显示答案错误啊
发表于 2025-10-18 14:52:08 回复(0)
COUNT(*) AS user_num,
这一行为什么是count(*)而不是count(gender)呢
发表于 2025-10-09 16:47:28 回复(0)

select gender,university,count(gender) user_num,round(avg(active_days_within_30),1) avg_active_day,round(avg(question_cnt),1) avg_question_cnt
from user_profile
group by gender,university
/*order by gender,university  可省略默认升序排列

/*order by gender,university  可省略默认升序排列
发表于 2025-10-08 10:50:38 回复(1)
select gender,
university,
count(device_id) as user_num,
avg(active_days_within_30) as avg_active_day,
avg(question_cnt) as avg_question_cnt
from user_profile
group by
    gender,
    university
order by
    gender asc,
    university asc
居然通过了,是不是过程错误结果对了呢?
发表于 2025-09-25 11:25:55 回复(0)
SELECT gender,
       university,
       count(*) AS num1,
       round(avg(active_days_within_30),1) AS avg_act,
       round(avg(question_cnt),1) AS avg_qus
FROM user_profile
GROUP BY  gender,university
ORDER BY  gender,university;
我这个一直报错,有什么问题?然后第三行count(*)和count(device_id)有什么区别?

count(*)
count(*)
发表于 2025-09-08 20:21:02 回复(0)

select
    gender,
    university,
    count(*) user_num,
    ROUND(avg(active_days_within_30), 1) avg_active_day,
    ROUND(avg(question_cnt), 1) avg_cquestion_cnt
from
    user_profile
GROUP BY
    gender,
    university
order by
    gender,
    university
发表于 2025-08-08 11:13:43 回复(1)
为什么错了
发表于 2025-07-25 17:40:10 回复(1)
select gender,university,count(device_id) as user_num,round(avg(active_days_within_30),1)as avg_active_day,
round(avg(question_cnt),1) as avg_question_cnt
from user_profile
group by gender,university
order by gender,university asc;
发表于 2025-07-25 17:30:35 回复(0)
select gender,university,count(*) as user_num,
    avg(active_days_within_30) as avg_active_day,
    avg(question_cnt) as avg_question_cnt
from user_profile
group by gender,university
不知道为什么最后结果有错误,看了一下是排序不对,加了order by就好了,这是印证了书上那句“排序还是要用order by,不能指望group by的默认结果”吗
发表于 2025-07-23 19:47:33 回复(0)
select gender, university,
count(device_id) as user_num,
round(avg(active_days_within_30),1) as avg_active_day,
round(avg(question_cnt),1) as avg_question_cnt,
from user_profile
group by gender, university;
想问一下哪里有错呀,大佬们?

发表于 2025-07-23 15:28:11 回复(1)
SELECT
    gender,
    university,
    COUNT(*) AS user_num,
    ROUND(AVG(active_days_within_30), 1) AS avg_active_day,
    ROUND(AVG(question_cnt), 1) AS avg_question_cnt
FROM user_profile
GROUP BY gender, university
ORDER BY
    CASE WHEN gender = 'female' THEN 0 ELSE 1 END,  -- female在前,male在后
    university ASC;                                 -- 学校名称升序
发表于 2025-07-19 12:28:20 回复(0)
为什么我复制别人的代码也是失败,就算排序问题,复制别人成功的代码也不能出错啊,我自己写的如下:
select
    gender,
    university,
    count(gender) as user_num,
    round(avg(active_days_within_30), 1) as avg_active_day,
    round(avg(question_cnt), 1) as avg_question_cnt
from
    user_profile
group by
    university,
    gender;

发表于 2025-07-18 14:55:19 回复(1)
求指点!为什么count(device_id)不可以呢?
select
gender,university,
count(gender) as user_num,
avg(active_days_within_30) as avg_active_day,
avg(question_cnt) as avg_question_cnt
from user_profile
group by gender,university
发表于 2025-07-18 14:10:17 回复(0)
select gender,university,
count(id) user_num,
avg(active_days_within_30) avg_active_day,
avg(question_cnt) avg_question_cnt 
from user_profile
group by gender,university

发表于 2025-07-17 17:11:37 回复(0)
select gender,university,count(*) as user_num,
avg(active_days_within_30) as avg_active_day,
avg(question_cnt) as avg_question_cnt
from user_profile
group by gender,university
为嘛找不出来哪里有问题呀
发表于 2025-07-12 17:40:02 回复(0)