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《天池龙珠 - SQL训练营》06.SQL进阶：综合练习题-10道经典SQL题目，配套数据与解答

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作者 囧囧JOJO
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本笔记为阿里云天池龙珠计划SQL训练营的学习内容，链接为：https://tianchi.aliyun.com/specials/promotion/aicampsql

0 下载相关创建表格和插入数据脚本

1 练习题1

数据来源：https://tianchi.aliyun.com/dataset/dataDetail?dataId=1074

请使用A股上市公司季度营收预测数据集《Income Statement.xls》和《Company Operating.xlsx》和《Market Data.xlsx》，以Market Data为主表，将三张表中的TICKER_SYMBOL为600383和600048的信息合并在一起。只需要显示以下字段。

表名字段名
Income StatementTICKER_SYMBOL
Income StatementEND_DATE
Income StatementT_REVENUE
Income StatementT_COGS
Income StatementN_INCOME
Market DataTICKER_SYMBOL
Market DataEND_DATE_
Market DataCLOSE_PRICE
Company OperatingTICKER_SYMBOL
Company OperatingINDIC_NAME_EN
Company OperatingEND_DATE
Company OperatingVALUE
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SELECT DISTINCT
	MD.*,
	CO.INDIC_NAME_EN,
	CO.VALUE,
	incom.N_INCOME,
	incom.T_COGS,
	incom.T_REVENUE 
FROM
	( SELECT TICKER_SYMBOL, END_DATE, CLOSE_PRICE FROM `market data` WHERE TICKER_SYMBOL = 600383 OR TICKER_SYMBOL = 600048  ) MD # market data
	LEFT JOIN
	( SELECT TICKER_SYMBOL, INDIC_NAME_EN, END_DATE, VALUE FROM `company operating` WHERE TICKER_SYMBOL = 600383 OR TICKER_SYMBOL = 600048  ) CO ON MD.TICKER_SYMBOL = CO.TICKER_SYMBOL AND MD.END_DATE = CO.END_DATE # company operating
	LEFT JOIN
	( SELECT TICKER_SYMBOL, END_DATE, T_REVENUE, T_COGS, N_INCOME FROM `income statement` WHERE TICKER_SYMBOL = 600383 OR TICKER_SYMBOL = 600048 ) incom ON CO.TICKER_SYMBOL = incom.TICKER_SYMBOL AND CO.END_DATE = incom.END_DATE # income statement
ORDER BY
	MD.TICKER_SYMBOL,
	MD.END_DATE

在这里插入图片描述

2 练习题2

数据来源：https://tianchi.aliyun.com/dataset/dataDetail?dataId=44

请使用 Wine Quality Data 数据集《winequality-red.csv》，找出 pH=3.03的所有红葡萄酒，然后，对其 citric acid 进行中式排名（相同排名的下一个名次应该是下一个连续的整数值。换句话说，名次之间不应该有“间隔”）

这句话说的不清楚，总结来说就是，列出pH=3.03的所有红葡萄酒，并且对按照 citric acid 进行排名，值相同的排名也相同（一共三列输出）。

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SELECT
	pH,
	`citric acid`,
	RANK() OVER ( ORDER BY `citric acid` ) AS rankn 
FROM
	`winequality-red` 
WHERE
	pH = 3.03;

在这里插入图片描述

3 练习题3

数据来源：https://tianchi.aliyun.com/competition/entrance/231593/information

使用Coupon Usage Data for O2O中的数据集《ccf_offline_stage1_test_revised.csv》，试分别找出在2016年7月期间，发放优惠券总金额最多和发放优惠券张数最多的商家。

这里只考虑满减的金额，不考虑打几折的优惠券。

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-- 优惠力度最大的商家
SELECT Merchant_id,SUM(SUBSTRING_INDEX(`Discount_rate`,':',-1)) AS discount_num
FROM `ccf_offline_stage1_test_revised`
WHERE Date_received BETWEEN '2016-07-01' AND '2016-07-31'
GROUP BY Merchant_id
ORDER BY discount_num DESC
LIMIT 1;

在这里插入图片描述

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-- 优惠券数量最多的商家
SELECT Merchant_id,SUM(1) AS coupon_num
FROM `ccf_offline_stage1_test_revised`
WHERE Date_received BETWEEN '2016-07-01' AND '2016-07-31'
GROUP BY Merchant_id
ORDER BY coupon_num DESC
LIMIT 1;

在这里插入图片描述

4 练习题4

数据来源：https://tianchi.aliyun.com/dataset/dataDetail?dataId=1074

请使用A股上市公司季度营收预测中的数据集《Macro&Industry.xlsx》中的sheet-INDIC_DATA，请计算全社会用电量:第一产业:当月值在2015年用电最高峰是发生在哪月？并且相比去年同期增长/减少了多少个百分比？

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-- 用电量最高的月份
SELECT CONCAT(YEAR(PERIOD_DATE),'年',MONTH(PERIOD_DATE),'月') AS '年月',MAX(DATA_VALUE) 用电量
FROM `macro industry`
WHERE INDIC_ID = '2020101522' AND YEAR(PERIOD_DATE) = 2015
GROUP BY CONCAT(YEAR(PERIOD_DATE),'-',MONTH(PERIOD_DATE),'-%') 
ORDER BY 用电量 DESC
LIMIT 1;

在这里插入图片描述

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-- 同期增长百分比
-- 同期增长百分比
SELECT ThisYear.PERIOD_DATE,CONCAT(((ThisYear.DATA_VALUE / LastYear.DATA_VALUE)-1)*100,'%')
FROM
	(SELECT PERIOD_DATE,DATA_VALUE
	FROM `macro industry`
	WHERE INDIC_ID = '2020101522' AND YEAR(PERIOD_DATE) = 2015
	GROUP BY PERIOD_DATE
	ORDER BY MAX(DATA_VALUE) DESC LIMIT 1) ThisYear
	LEFT JOIN
	(SELECT PERIOD_DATE,DATA_VALUE
	FROM `macro industry`
	WHERE INDIC_ID = '2020101522' AND YEAR(PERIOD_DATE) = 2014
	GROUP BY PERIOD_DATE
	) LastYear
	ON YEAR(LastYear.PERIOD_DATE) = YEAR(ThisYear.PERIOD_DATE)-1
	WHERE MONTH(LastYear.PERIOD_DATE) = MONTH(ThisYear.PERIOD_DATE);

在这里插入图片描述

5 练习题5

数据来源：https://tianchi.aliyun.com/competition/entrance/231593/information

使用Coupon Usage Data for O2O中的数据集《ccf_online_stage1_train.csv》，试统计在2016年6月期间，线上总体优惠券弃用率为多少？并找出优惠券弃用率最高的商家。

弃用率 = 被领券但未使用的优惠券张数 / 总的被领取优惠券张数

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SELECT SUM(Date IS NULL AND Coupon_id IS NOT NULL)/SUM(Coupon_id IS NOT NULL) '优惠券弃用率'
FROM `ccf_online_stage1_train`
WHERE Date_received BETWEEN '2016-06-01' AND '2016-06-30'

在这里插入图片描述

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select Merchant_id,rate
FROM (
		SELECT Merchant_id,rate,DENSE_RANK() OVER (ORDER BY rate DESC) my_rank
		FROM (
				SELECT Merchant_id,SUM(Date IS NULL AND Coupon_id IS NOT NULL)/SUM(Coupon_id IS NOT NULL) rate
				FROM `ccf_online_stage1_train`
				WHERE Date_received BETWEEN '2016-06-01' AND '2016-06-30'
				GROUP BY Merchant_id
		) A
) B
WHERE my_rank = 1

这里讲一下我的心路历程，刚开始查到所有商家的优惠券弃用率，这一点还是很简单的，就不赘述了。 其实，选出来第一名也很简单，只是，头脑发热，没想起来用rank函数，老是想把表格自连接起来，后来咨询了天池官方钉钉群的大佬，提供了rank思路，立马就通了~感谢@Finn. 在这里插入图片描述

6 练习题6

数据来源：https://tianchi.aliyun.com/dataset/dataDetail?dataId=44

请使用 Wine Quality Data 数据集《winequality-white.csv》，找出 pH=3.63的所有白葡萄酒，然后，对其 residual sugar 量进行英式排名（非连续的排名）

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SELECT `residual sugar`,pH,RANK() OVER (ORDER BY `residual sugar` DESC) my_rank
FROM `winequality-white`
WHERE pH = 3.63

在这里插入图片描述

7 练习题7

数据来源：https://tianchi.aliyun.com/dataset/dataDetail?dataId=1074

请使用A股上市公司季度营收预测中的数据集《Market Data.xlsx》中的sheet-DATA，

计算截止到2018年底，市值最大的三个行业是哪些？以及这三个行业里市值最大的三个公司是哪些？（每个行业找出前三大的公司，即一共要找出9个）

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SELECT TYPE_NAME_CN,TYPE_NAME_EN,my_rank AS "rank"
FROM (
	SELECT *,(RANK() OVER (ORDER BY MARKET_VALUE DESC)) my_rank
	FROM `market data`
	WHERE END_DATE < '2019-01-01'
	GROUP BY TYPE_NAME_CN) A
WHERE my_rank<=3

在这里插入图片描述

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SELECT TYPE_NAME_CN,TICKER_SYMBOL,SUM(MARKET_VALUE)
FROM `market data`
WHERE (TYPE_NAME_CN,TICKER_SYMBOL) in (
SELECT MD.TYPE_NAME_CN,MD.TICKER_SYMBOL
FROM (SELECT TYPE_NAME_CN,TICKER_SYMBOL, MARKET_VALUE, (ROW_NUMBER() OVER(PARTITION BY TYPE_NAME_CN ORDER BY MARKET_VALUE) )r
      FROM `market data` )  MD
      
			LEFT JOIN

	    (SELECT TYPE_NAME_CN, SUM(MARKET_VALUE) AS s
		   FROM `market data`
		   WHERE END_DATE < '2019-01-01'
		   GROUP BY TYPE_NAME_CN
		   ORDER BY s DESC
		   LIMIT 3) top3
			 
			 ON top3.TYPE_NAME_CN = MD.TYPE_NAME_CN
WHERE r <= 3
AND top3.TYPE_NAME_CN IS NOT NULL)
GROUP BY TICKER_SYMBOL

在这里插入图片描述

8 练习题8

数据来源：https://tianchi.aliyun.com/competition/entrance/231593/information

使用Coupon Usage Data for O2O中的数据集《ccf_online_stage1_train.csv》和《ccf_offline_stage1_train.csv》，试找出在2016年6月期间，线上线下累计优惠券使用次数最多的顾客。

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SELECT User_id,sum(Discount_num) 使用优惠券数量
FROM
(SELECT User_id,count(*) AS discount_num
FROM `ccf_offline_stage1_train`
WHERE Coupon_id IS NOT NULL AND  Date IS NOT NULL AND Date = "201606%"
GROUP BY User_id

UNION ALL

SELECT User_id,count(*) AS discount_num
FROM `ccf_online_stage1_train`
WHERE Coupon_id IS NOT NULL AND  Date IS NOT NULL AND YEAR(Date) = 2016 AND MONTH(Date) = 06
GROUP BY User_id) A

GROUP BY User_id

ORDER BY sum(Discount_num) DESC
LIMIT 1;

在这里插入图片描述

9 练习题9

数据来源：https://tianchi.aliyun.com/dataset/dataDetail?dataId=1074

请使用A股上市公司季度营收预测数据集《Income Statement.xls》中的sheet-General Business和《Company Operating.xlsx》中的sheet-EN。

找出在数据集所有年份中，按季度统计，白云机场旅客吞吐量最高的那一季度对应的净利润是多少？（注意，是单季度对应的净利润，非累计净利润。）

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SELECT income.TICKER_SYMBOL,SUM(`N_INCOME`)
FROM `income statement` AS income,(
	SELECT CEILING(MONTH(END_DATE)/3) AS Season,TICKER_SYMBOL,END_DATE
	FROM `company operating`
	WHERE INDIC_NAME_EN = "Baiyun Airport:Passenger throughput"
	GROUP BY Season
	ORDER BY SUM(`VALUE`) DESC
	LIMIT 1
) A
WHERE MONTH(income.END_DATE) = A.Season * 3 AND income.TICKER_SYMBOL = A.TICKER_SYMBOL

在这里插入图片描述

10 练习题10

数据来源：https://tianchi.aliyun.com/competition/entrance/231593/information

使用Coupon Usage Data for O2O中的数据集《ccf_online_stage1_train.csv》和《ccf_offline_stage1_train.csv》，试找出在2016年6月期间，线上线下累计被使用优惠券满减最多的前3名商家。

比如商家A，消费者A在其中使用了一张200减50的，消费者B使用了一张30减1的，那么商家A累计被使用优惠券满减51元。

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SELECT Merchant_id,sum(Discount_num) 使用优惠券数量
FROM
(SELECT Merchant_id,count(*) AS discount_num
FROM `ccf_offline_stage1_train`
WHERE Coupon_id IS NOT NULL AND Date = "201606%"
GROUP BY Merchant_id

UNION ALL

SELECT Merchant_id,count(*) AS discount_num
FROM `ccf_online_stage1_train`
WHERE Coupon_id IS NOT NULL AND YEAR(Date) = 2016 AND MONTH(Date) = 06
GROUP BY Merchant_id) A

GROUP BY Merchant_id

ORDER BY sum(Discount_num) DESC
LIMIT 1;

在这里插入图片描述 这一题与第八题相似度很高，不解释。

MySQL SQL 天池龙珠 笔记 入门 教程
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