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
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
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 ;
更新列填充空值
UPDATE sale set city = "未知"
WHERE city IS ;
UPDATE orderitems set
price_new=IF(price_new,5.74);
查询并填充空值列
SELECT AVG(price_new) FROM orderitems;
SELECT IF(price_new,5.74) AS bus_if
FROM orderitems;
3 计算列
更新表添加计算列
ALTER TABLE orderitems ADD price_new DECIMAL(8,2) NOT ;
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');
SELECT 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
注：以上代码在MySQL数据库中执行
微软于年初推出了自己的Python教程，我们将其汉化提供给大家，欢迎大家收藏关注哦~（已经汉化完成的20集，我们日更1集，未完成部分我们尽快更新）
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