阿里天池龙珠计划-SQL训练营-Task06

不愿透露姓名的大鹏

已于 2022-04-14 14:20:57 修改

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分类专栏：数据库文章标签： sql dba 数据库开发

于 2022-04-13 17:41:15 首次发布

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下载相关创建表格和插入数据脚本

这里为了方便大家，数据脚本已经给大家准备好啦。
点击下方链接直接下载
创建数据表脚本：http://tianchi-media.oss-cn-beijing.aliyuncs.com/dragonball/SQL/create_table.sql
插入数据脚本：http://tianchi-media.oss-cn-beijing.aliyuncs.com/dragonball/SQL/data.zip

大家下载好脚本后，先在MySQL环境中运行create_table.sql脚本，创建数据表，然后解压下载好的data.zip，解压后目录如下：

8-10ccf_offline_stage1_train.sql
6-winequality-white.sql
5-8-10ccf_online_stage1_train.sql
4-macro industry.sql
3-ccf_offline_stage1_test_revised.sql
2-winequality-red.sql
1-9income statement.sql
1-9company operating.sql
1-7market data.sql

脚本文件名前面的序号表示用到该数据集的题目序号，例如1-7market data.sql表示第1题和第7题用到了该数据集。
同样的，这里给大家的也是sql脚本，里面是插入数据的语句，大家只需打开后在MySQL环境中运行即可将数据导入到数据表中。

练习题1：

数据来源：数据集-阿里云天池

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 Statement	TICKER_SYMBOL
Income Statement	END_DATE
Income Statement	T_REVENUE
Income Statement	T_COGS
Income Statement	N_INCOME
Market Data	TICKER_SYMBOL
Market Data	END_DATE_
Market Data	CLOSE_PRICE
Company Operating	TICKER_SYMBOL
Company Operating	INDIC_NAME_EN
Company Operating	END_DATE
Company Operating	VALUE

答：

SELECT ist.TICKER_SYMBOL, ist.END_DATE, ist.T_REVENUE, ist.T_COGS, ist.N_INCOME
	, mad.TICKER_SYMBOL, mad.END_DATE, mad.CLOSE_PRICE, coo.TICKER_SYMBOL, coo.INDIC_NAME_EN
	, coo.END_DATE, coo.VALUE
FROM `market data` mad
	LEFT JOIN `income statement` ist ON mad.TICKER_SYMBOL = ist.TICKER_SYMBOL
	LEFT JOIN `company operating` coo ON mad.TICKER_SYMBOL = coo.TICKER_SYMBOL
WHERE mad.TICKER_SYMBOL IN ('600383', '600048')

练习题2：

数据来源：数据集-阿里云天池

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”）

答：

SELECT *, dense_rank() OVER (ORDER BY `citric acid`)
FROM `winequality-red`
WHERE pH = 3.03

练习题3：

数据来源：天池新人实战赛o2o优惠券使用预测赛题与数据-天池大赛-阿里云天池

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。

答：

发放优惠券总金额最多(不包含折扣券)

SELECT Merchant_id
	, SUM(SUBSTRING_INDEX(Discount_rate, ':', -1) + 0) AS 优惠券总金额
FROM `ccf_offline_stage1_test_revised`
WHERE Date_received >= '2016-07-01'
	AND Date_received <= '2016-07-31'
	AND Discount_rate > 1
GROUP BY Merchant_id
ORDER BY 优惠券总金额 DESC
LIMIT 1

发放优惠券张数最多的商家

SELECT Merchant_id AS 商家id, count(Coupon_id) AS 发放优惠券数量
FROM ccf_offline_stage1_test_revised
WHERE Date_received >= '2016-07-01'
	AND Date_received <= '2016-07-31'
GROUP BY Merchant_id
ORDER BY 发放优惠券数量 DESC
LIMIT 1

发放折扣优惠券张数最多的商家

SELECT Merchant_id AS 商家id, count(Coupon_id) AS 发放折扣优惠券数量
FROM ccf_offline_stage1_test_revised
WHERE Date_received >= '2016-07-01'
	AND Date_received <= '2016-07-31'
	AND Discount_rate < 1
GROUP BY Merchant_id
ORDER BY 发放折扣优惠券数量 DESC
LIMIT 1

发放满减优惠券张数最多的商家

SELECT Merchant_id AS 商家id, count(Coupon_id) AS 发放满减优惠券数量
FROM ccf_offline_stage1_test_revised
WHERE Date_received >= '2016-07-01'
	AND Date_received <= '2016-07-31'
	AND Discount_rate LIKE '%:%'
GROUP BY Merchant_id
ORDER BY 发放满减优惠券数量 DESC
LIMIT 1

练习题4：

数据来源：数据集-阿里云天池

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？

答：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8月

SELECT SUBSTRING_INDEX(PERIOD_DATE,'-',2)
FROM `macro industry`
WHERE name_cn = 'Total Electricity Consumption: Primary Industry'
	AND PERIOD_DATE > '2014-12-31'
	AND PERIOD_DATE < '2016-01-01'
ORDER BY DATA_VALUE DESC
LIMIT 1

并且相比去年同期增长/减少了多少个百分比？

SELECT a.name_cn, a.OLD_DATE AS 去年同期, a.DATA_VALUE AS 去年同期用电量,
b.NEW_DATE AS 当前日期, b.DATA_VALUE AS 当前用电量
	, CONCAT(ROUND((b.DATA_VALUE - a.DATA_VALUE) / a.DATA_VALUE * 100, 2), '%')
 AS 同比
FROM (
    --去年数据
	SELECT name_cn, SUBSTRING_INDEX(PERIOD_DATE, '-', 2) AS OLD_DATE
		, DATA_VALUE
	FROM `macro industry`
	WHERE name_cn = 'Total Electricity Consumption: Primary Industry'
		AND PERIOD_DATE = (
			SELECT subdate(PERIOD_DATE, INTERVAL 1 YEAR)
			FROM `macro industry`
			WHERE name_cn = 'Total Electricity Consumption: Primary Industry'
				AND PERIOD_DATE > '2014-12-31'
				AND PERIOD_DATE < '2016-01-01'
			ORDER BY DATA_VALUE DESC
			LIMIT 1
		)
) a
	LEFT JOIN (
        --当前数据
		SELECT name_cn, SUBSTRING_INDEX(PERIOD_DATE, '-', 2) AS NEW_DATE
			, DATA_VALUE
		FROM `macro industry`
		WHERE name_cn = 'Total Electricity Consumption: Primary Industry'
			AND PERIOD_DATE > '2014-12-31'
			AND PERIOD_DATE < '2016-01-01'
		ORDER BY DATA_VALUE DESC
		LIMIT 1
	) b
	ON a.name_cn = b.name_cn

练习题5：

数据来源：天池新人实战赛o2o优惠券使用预测赛题与数据-天池大赛-阿里云天池

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

答：线上总体优惠券弃用率

SELECT CONCAT((
		SELECT count(*) AS fixed
		FROM ccf_online_stage1_train
		WHERE Date > '2016-05-31'
			AND Date < '2016-07-01'
			AND Coupon_id = 'fixed'
	) / (
		SELECT count(*) AS total
		FROM ccf_online_stage1_train
		WHERE Date > '2016-05-31'
			AND Date < '2016-07-01'
			AND Date_received IS NOT NULL
	) * 100, '%')

优惠券弃用率最高的商家

SELECT a.Merchant_id
	, CONCAT(a.fixed / b.total * 100, '%') AS 弃用率
FROM (
	SELECT Merchant_id, count(*) AS fixed
	FROM ccf_online_stage1_train
	WHERE Date_received > '2016-05-31'
		AND Date_received < '2016-07-01'
		AND Coupon_id = 'fixed'
	GROUP BY Merchant_id
) a
	LEFT JOIN (
		SELECT Merchant_id, count(*) AS total
		FROM ccf_online_stage1_train
		WHERE Date_received > '2016-05-31'
			AND Date_received < '2016-07-01'
		GROUP BY Merchant_id
	) b
	ON a.Merchant_id = b.Merchant_id
WHERE a.fixed / b.total = 1

练习题6：

数据来源：数据集-阿里云天池

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）

答：

SELECT *, rank() OVER (ORDER BY `residual sugar`) AS ranking
FROM `winequality-white`
WHERE pH = 3.63

练习题7：

数据来源：数据集-阿里云天池

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）

答：市值最大的三个行业,有TYPE_ID不一致，同名的情况，根据TYPE_ID来分

SELECT TYPE_ID, TYPE_NAME_CN, TYPE_NAME_EN, SUM(MARKET_VALUE) AS 市值
FROM `market data`
WHERE substring_index(END_DATE, '-', 1) <= '2018'
GROUP BY TYPE_ID, TYPE_NAME_CN, TYPE_NAME_EN
ORDER BY 市值 DESC
LIMIT 3

三个行业里市值最大的三个公司是哪些

SELECT r.*
FROM (
	SELECT zz.行业, zz.公司, zz.市值
		, @rank := if(@tmp = zz.行业, @rank + 1, 1) AS 业内排名
		, @tmp := zz.行业 AS tmp
	FROM (
		SELECT b.TYPE_NAME_CN AS 行业, b.ticker_symbol AS 公司, 
        sum(b.MARKET_VALUE) AS 市值
		FROM (
			SELECT TYPE_ID, SUM(MARKET_VALUE) AS 市值
			FROM `market data`
			WHERE substring_index(END_DATE, '-', 1) <= '2018'
			GROUP BY TYPE_ID, TYPE_NAME_CN, TYPE_NAME_EN
			ORDER BY 市值 DESC
			LIMIT 3
		) a
			INNER JOIN `market data` b ON a.TYPE_ID = b.TYPE_ID
		GROUP BY b.ticker_symbol, b.TYPE_NAME_CN
	) zz
	ORDER BY zz.行业, zz.市值 DESC
) r
WHERE r.业内排名 <= 3;

练习题8：

数据来源：天池新人实战赛o2o优惠券使用预测赛题与数据-天池大赛-阿里云天池

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。

答：

SELECT a.User_id, a.num + b.num AS total_num
FROM (
	SELECT User_id, count(*) AS num
	FROM ccf_online_stage1_train
	WHERE Date_received > '2016-05-31'
		AND Date_received < '2016-07-01'
	GROUP BY User_id
) a
	LEFT JOIN (
		SELECT User_id, count(*) AS num
		FROM ccf_offline_stage1_train
		WHERE Date_received > '20160531'
			AND Date_received < '20160701'
		GROUP BY User_id
	) b
	ON a.User_id = b.User_id
ORDER BY total_num DESC
LIMIT 1;

练习题9：

数据来源：数据集-阿里云天池

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。）

答：

SELECT '白云机场旅客', b.`年`, b.`季度`, b.`税后收入`
FROM (
	SELECT TICKER_SYMBOL, year(END_DATE) AS 年, quarter(END_DATE) AS 季度
		, sum(value) AS 总量
	FROM `company operating`
	WHERE INDIC_NAME_EN = 'Baiyun Airport:Passenger throughput'
	GROUP BY TICKER_SYMBOL, 年, 季度
	ORDER BY 总量 DESC
	LIMIT 1
) a
	LEFT JOIN (
		SELECT TICKER_SYMBOL, year(END_DATE) AS 年, quarter(END_DATE) AS 季度
			, SUM(N_INCOME) AS 税后收入
		FROM `income statement`
		GROUP BY TICKER_SYMBOL, 年, 季度
	) b
	ON a.TICKER_SYMBOL = b.TICKER_SYMBOL
		AND a.年 = b.年
		AND a.季度 = b.季度;

练习题10：

数据来源：天池新人实战赛o2o优惠券使用预测赛题与数据-天池大赛-阿里云天池

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。

答：

SELECT a.Merchant_id
	, IFNULL(a.`优惠金额`, 0) + IFNULL(b.`优惠金额`, 0) AS 优惠券总金额
FROM (
	SELECT Merchant_id
		, SUM(SUBSTRING_INDEX(Discount_rate, ':', -1) + 0) AS 优惠金额
	FROM `ccf_offline_stage1_train`
	WHERE Date_received >= '20160601'
		AND Date_received <= '20160631'
		AND Discount_rate > 1
	GROUP BY Merchant_id
) a
	LEFT JOIN (
		SELECT Merchant_id
			, SUM(SUBSTRING_INDEX(Discount_rate, ':', -1) + 0) AS 优惠金额
		FROM `ccf_online_stage1_train`
		WHERE Date_received >= '2016-06-01'
			AND Date_received <= '2016-06-31'
			AND Discount_rate > 1
		GROUP BY Merchant_id
	) b
	ON a.Merchant_id = b.Merchant_id
ORDER BY 优惠券总金额 DESC
LIMIT 3