来几个比较有意思的笔试题,比较注重灵活性;
1、我们把用户对商品的评分用稀疏向量表示,保存在数据库表t里面: t的字段有:uid,goods_id,star; uid是用户id;goods_id是商品id;star是用户对该商品的评分,值为1-5。 现在我们想要计算向量两两之间的内积,内积在这里的语义为:对于不同的用户,如果他们都对同样的一批商品打了分,那么对于这里面的每个人的分数乘起来,并对这些乘积求和。比如g0:2*2+2*4+2*5+4*2+4*4+4*5+5*2+5*4+5*5=121
建表语句:
create table B(uid VARCHAR(12),good_id VARCHAR(12),star int(10));
INSERT INTO B (uid,good_id,star) VALUES('u0','g0',2),('u0','g1',3),('u1','g0',4),('u1','g1',3),('u2','g0',5),('u2','g1',1);
表结构如下:
select t.good_id,sum(xiangchen)
from (
select t1.uid,t1.good_id,t1.star*t2.star as xiangchen --3*6
from (
select *
from B
)t1
inner join (
select *
from B
)t2
on t1.good_id=t2.good_id
)t
group by t.good_id;
2、员工表,宿舍表,部门表,统计出宿舍楼各部门人数表
设员工表为employee,字段为id,employee_name,belong_dormitory_id,belong_department_id;
宿舍表为dormitory,字段为id,dormitory_number;
部门表为department,字段为id,department_name
思路:
select t3.dormitory_name,t2.department_number,count(distinct t1.employee_name)
from (
select *
from employee
)t1
inner join (
select *
from department
)t2
on t1.belong_department_id=t2.id
inner join (
select *
from dormitory
)t3
on t3.id=t1.belong_dormitory_id
group by t3.dormitory_name,t2.department_number
3、给出一堆数和频数的表格,统计这一堆数中位数
设表table中字段为id,number,frequency
create table table_a (id VARCHAR(2),number int(12),frequency int(12));
insert into table_a values ('b',2,4),('c',3,3),('d',4,5),('a',1,2);建立表格时,注意将number,frequency的顺序打乱,以免出现歧义!
思路:
2+3+4+5)+1)/2=7.5;我们需要知道排序在第7,第8位的数字,然后求其平均数,即为需要求的中位数!
分两种情况考虑:
a:1,1,2,2的情况,中位数是1+2)/2=1.5
b:1,1,2,2,3的情况,中位数是2!
select (t1.number+lead(t1.number,1)over(order by t1.number))/2
from (
select number,frequency,sum(frequency) over( order by number) as ran
from table_a
)t1
inner join (
select floor(((sum(frequency)+1) / 2) ) as fre_int
from table_a
)t2
on t1.ran =t2.fre_int
union
select t3.number
from (
select number,frequency,sum(frequency) over( order by number) as ran
from table_a
)t3
inner join (
select floor(((sum(frequency)+1) / 2 ) ) as fre_int
from table_a
)t4
on t3.ran >t4.fre_int
limit 1union 或者union all是用来求并集合的,但是不能与order by 连用!所以我们采用sum()over()借助over中的order by函数完成对原始number的排序!
floor()向下取整!
3、三个班级合在一起的一张成绩单,统计每个班级成绩中位数
设表table中字段为id,class,score
create table all_scores (id VARCHAR(12),class VARCHAR(12),score int(10));
insert into all_scores VALUES('zhang shan','A',96),('li si','C',68),('lao wang','B',100),('zhao liu','A',98),('wu xiao','C',86),('xiao ma','A',84),('xiao pang','B',89);
select * from all_scores
代码如下:(oracle,hive中可以很方便使用row_number()over())
select a.class,
a.score * (1 - b.float_part) + a.next_feature1 * (b.float_part-0) as median
from
(select
class,score
row_number() over( partition by class order by score asc) as rank,
lead(score,1) over(partition by class order by score asc) as next_feature1
from
all_scores
) a
inner join
(
select class,
floor((count(score) + 1) / 2) int_part,
(count(score)+1) / 2 % 1 as float_part
from
all_scores
group by class
) b
on a.rank = b.int_part and a.class=b.class
group by a.class没测试,理论上应该正确!
Mysql版本:
select a.class,
a.score * (1 - b.float_part) + a.next_feature1 * (b.float_part-0) as median
from
(select
if(@class=class,@score:=@score+1,@score:=1) as ran,
@class:=class as class,
score,
lead(score,1) over(partition by class order by score asc) as next_feature1
from
all_scores as a,(select @class:='',@score:=0) as c
order by class
) a
inner join
(
select class,
floor((count(score) + 1) / 2) int_part,
(count(score)+1) / 2 % 1 as float_part
from
all_scores
group by class
) b
on a.ran = b.int_part and a.class=b.class
group by a.class此种写法,有一个瑕疵:当B班只有一个学生的时候,最终结果显示null(实际上B班不可能只有一个学生;当初测试的时候,意外发现这个bug)
各位看官,如果有兴趣可以研究下;
为了对Mysql版本写法有更清晰的认识,我将比较陌生的部分单独抽出来进行说明:
select
if(@class=class,@score:=@score+1,@score:=1) as ran,--class 是分组键(不能有:),score是排序键
@class:=class as class,
score,
lead(score,1) over(partition by class order by score asc) as next_feature1
from
all_scores as a,(select @class:='',@score:=0) as c --一定要起别名
order by class --必不可少row_number的mysql改写:
有set 与case when的结合;也有本文if的写法,二者效果相同;
两种方法我都尝试了,个人感觉if写法更加容易理解!
4、给定如下表结构,请用SQL写出中位数:(四分位数改写?)
自己练习一下吧(比上述两题都简单啦)
参考答案如下:求知鸟:数据分析|容易被忽视的统计值zhuanlan.zhihu.com
5、交易表结构为user_id,id,paid_time,amount
1、写sql查询过去一个月付款用户量(提示 用户量需去重)最高的3天分别是哪几天
2、写sql查询做昨天每个用户最后付款的订单ID及金额
表结构:
create table order_record (id int, user_id int,paid_time datetime,amount bigint);
insert into order_record(id,user_id,paid_time,amount) values(1,1028898,'2018-01-04 22:32:07.0',9600);
insert into order_record(id,user_id,paid_time,amount) values(2,1030621,'2018-02-24 23:04:58.0',5400);
第一问:
Select date(paid_time),amount
From order_record
Where month(paid_time)='07'
Group by date(paid_time)
Order by count(distinct user_id) desc
Limit 3
第二问:
Select t2.id,t2.amount
From (
Select user_id,max(paid_time) as max_date
From order_record
Where datediff(now(),paid_time)=1
Group by user_id
)t1
Inner join (
Select user_id,amount,id,paid_time
From order_record
Where datediff(now(),paid_time)=1
)t2
On t1.user_id=t2.user_id
And t1.max_date=t2.paid_time
看的不尽兴,那就关注我的专栏,第一时间知道笔试题状态数据分析zhuanlan.zhihu.com
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本文提供了一系列基于 MySQL 的数据分析笔试题目,包括计算稀疏向量的内积、统计宿舍楼各部门人数、找数列中位数以及处理班级成绩中位数等。通过 SQL 查询展示了如何解决这些问题,涉及到分组、窗口函数和连接操作等技巧。
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