像Excel一样使用SQL进行数据分析

Excel是数据分析中最常用的工具 ，利用Excel可以完成数据清洗，预处理，以及最常见的数据分类，数据筛选，分类汇总，以及数据透视等操作，而这些操作用SQL一样可以实现。SQL不仅可以从数据库中读取数据，还能通过不同的SQL函数语句直接返回所需要的结果，从而大大提高了自己在客户端应用程序中计算的效率。

1 重复数据处理

• 查找重复记录

SELECT * FROM user Where (nick_name,password) in
   (SELECT nick_name,password FROM user group by nick_name,password WHERE having count(nick_name)>1);

• 查找去重记录

查找id最大的记录

SELECT * FROM user WHERE id in
     (SELECT max(id) FROM user group by nick_name,password WHERE having count(nick_name)>1);

• 删除重复记录

只保留id值最小的记录

DELETE  c1 
FROM  customer c1,customer c2
WHERE c1.cust_email=c2.cust_email  AND c1.id>c2.id;

DELETE FROM user Where (nick_name,password) in
     (SELECT nick_name,password FROM
          (SELECT nick_name,password FROM user group by nick_name,password having count(nick_name)>1) as tmp1)
and id not in
     (SELECT id FROM
          (SELECT min(id) id FROM user group by nick_name,password having count(nick_name)>1) as tmp2);

2 缺失值处理

• 查找缺失值记录

SELECT * FROM customer WHERE cust_email IS NULL;

• 更新列填充空值

#更新列填充空值
UPDATE sale set city = "未知" WHERE city IS NULL;

UPDATE orderitems set price_new=IFNULL(price_new,5.74);

• 查询并填充空值列

SLECT AVG(price_new) FROM orderitems;

SELECT IFNULL(price_new,5.74) AS bus_ifnull FROM orderitems;

3 计算列

• 更新表添加计算列

ALTER TABLE orderitems ADD price_new DECIMAL(8,2) NOT NULL;

UPDATE orderitems set price_new= item_price*count;

• 查询计算列

SELECT item_price*count as sales FROM orderitems;

4 排序

• 多列排序

SELECT * FROM orderitems ORDER BY price_new DESC,quantity;

• 查询排名前几的记录

SELECT * FROM orderitems ORDER BY price_new DESC LIMIT 5;

• 查询第10大的值

SELECT DISTINCT price_new FROM orderitems ORDER BY price_new DESC LIMIT 9,1;

• 排名

数值相同的排名相同且排名连续

SELECT prod_price,
(SELECT COUNT(DISTINCT prod_price) FROM products WHERE prod_price>=a.prod_price ) AS rank
FROM products AS a
ORDER BY rank ;

5 字符串处理

• 字符串替换

UPDATE data1 SET city=REPLACE(city,'SH','shanghai'); SELECT city FROM data1; 

• 按位置字符串截取

字符串截取可用于数据分列
MySQL 字符串截取函数：left(), right(), substring(), substring_index()

SELECT left('example.com', 3);

从字符串的第 4 个字符位置开始取，直到结束

 SELECT substring('example.com', 4);

从字符串的第 4 个字符位置开始取，只取 2 个字符

SELECT substring('example.com', 4, 2);

• 按关键字截取字符串

取第一个分隔符之前的所有字符，结果是www

 SELECT substring_index('www.google.com','.',1);

取倒数第二个分隔符之后的所有字符，结果是google.com;

SELECT substring_index('www.google.com','.',-2);

6 筛选

• 通过操作符实现高级筛选

使用 AND OR IN NOT 等操作符实现高级筛选过滤

SELECT prod_name，prod_price FROM Products WHERE vend_id IN('DLL01','BRS01');

SLECT prod_name FROM Products WHERE NOT vend_id='DLL01';

• 通配符筛选

常用通配符有% _ [] ^

SELECT * from customers WHERE country LIKE "CH%";

7 表联结

SQL表连接可以实现类似于Excel中的Vlookup函数的功能

SELECT vend_id,prod_name,prod_price 
FROM Vendors INNER JOIN Products 
ON Vendors.vend_id=Products.vend_id;

SELECT prod_name,vend_name,prod_price,quantity FROM OderItems,Products,Vendors
WHERE Products.vend_id=Vendors.vend_id
AND OrderItems.prod_id=Products.prod_id
AND order_num=20007;

自联结 在一条SELECT语句中多次使用相同的表

SELECT c1.cust_od,c1.cust_name,c1.cust_contact FROM Customers as c1,Customers as c2
WHERE c1.cust_name=c2.cust_name 
AND c2.cust_contact='Jim Jones';

8 数据透视

数据分组可以实现Excel中数据透视表的功能

• 数据分组

group by 用于数据分组 having 用于分组后数据的过滤

SELECT order_num,COUNT(*) as items FROM OrderItems
GROUP BY order_num HAVING COUNT(*)>=3;

• 交叉表

通过CASE WHEN函数实现

SELECT data1.city, 
CASE WHEN colour = "A" THEN price END AS A, 
CASE WHEN colour = "B" THEN price END AS B, 
CASE WHEN colour = "C" THEN price END AS C,
 CASE WHEN colour = "F" THEN price END 
AS F FROM data1