最近做手机银行营销名单时,需对评分(pf)和开户率(khl)进行二维统计 评分和开户率需进行分段统计。本文采用ceil函数和case语句两种方法。
二、两个字段分段统计

--测试数据
--检查表是否存在,若存在则删除
DROP TABLE IF EXISTS yingxiao;
--创建测试表:yingxiao
CREATE TABLE yingxiao
(name varchar(10) NOT NULL ,
pf double(10,2) NOT NULL,
khl double(10,2) NOT NULL,
PRIMARY KEY (name)
);
--插入测试数据
INSERT INTO yingxiao VALUES('a','15','0.15');
INSERT INTO yingxiao VALUES('b','25','0.25');
INSERT INTO yingxiao VALUES('c','35','0.35');
INSERT INTO yingxiao VALUES('d','40','0.4');
INSERT INTO yingxiao VALUES('e','45','0.45');
INSERT INTO yingxiao VALUES('f','55','0.55');
INSERT INTO yingxiao VALUES('g','65','0.65');
INSERT INTO yingxiao VALUES('h','54','0.66');
INSERT INTO yingxiao VALUES('i','75','0.75');
INSERT INTO yingxiao VALUES('j','85','0.85');
INSERT INTO yingxiao VALUES('k','95','0.95');select (ceil(pf/20)-1)*20 as min,
ceil(pf/20)*20 as max,
count(*)
from yingxiao group by ceil(pf/20);SELECT
sum(CASE when pf<20 then 1 else 0 end) AS '[0,20)',
sum(CASE when pf>20 and pf<=40 then 1 else 0 end) AS '[20,40)',
sum(CASE when pf>40 and pf<=60 then 1 else 0 end) AS '[40,60)',
sum(CASE when pf>60 and pf<=80 then 1 else 0 end) AS '[60,80)',
sum(CASE when pf>80 then 1 else 0 end) AS '[80,100]'
FROM yingxiao;二、两个字段分段统计
select (ceil(khl*100/20)-1)*0.2 as khl_min,
ceil(khl*100/20)*0.2 as khl_max,
sum(CASE when pf>=0 and pf<=20 then 1 else 0 end) AS 'pf[0,20]',
sum(CASE when pf>=20 and pf<40 then 1 else 0 end) AS 'pf[20,40)',
sum(CASE when pf>=40 and pf<60 then 1 else 0 end) AS 'pf[40,60)',
sum(CASE when pf>=60 and pf<80 then 1 else 0 end) AS 'pf[60,80)',
sum(CASE when pf>=80 and pf<=100 then 1 else 0 end) AS 'pf[80,100]',
count(*) AS 'pf合计'
FROM yingxiao group by ceil(khl*100/20);

