天池龙珠计划-SQL训练营-task06打卡 综合练习题-10道经典SQL题目,配套数据与解答

知识点补充

1. count(1) and count(字段)

两者的主要区别是
(1) count(1) 会统计表中的所有的记录数,包含字段为null 的记录。
(2) count(字段) 会统计该字段在表中出现的次数,忽略字段为null 的情况。即不统计字段为null 的记录。

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。
在这里插入图片描述

SELECT  IcS.TICKER_SYMBOL
       ,IcS.END_DATE
       ,IcS.T_REVENUE
       ,IcS.T_COGS
       ,IcS.N_INCOME
       ,MD.*
       ,CoO.TICKER_SYMBOL
       ,CoO.INDIC_NAME_EN
       ,CoO.END_DATE
       ,CoO.VALUE
  FROM `Market Data` AS MD
INNER JOIN `Income Statement` AS IcS
	ON MD.TICKER_SYMBOL = IcS.TICKER_SYMBOL
INNER JOIN `Company Operating` AS CoO
	ON MD.TICKER_SYMBOL = CoO.TICKER_SYMBOL
WHERE MD.TICKER_SYMBOL = '600383'
   OR MD.TICKER_SYMBOL = '600048'

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”)

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

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。

-- 发放优惠券总金额最多的商家
SELECT Merchant_id
      ,SUM(SUBSTRING_INDEX(`Discount_rate`,':',-1)) AS discount_amount
 FROM ccf_offline_stage1_test_revised
WHERE Date_received BETWEEN '2016-07-01' AND '2016-07-31'
GROUP BY Merchant_id
ORDER BY discount_amount DESC
LIMIT 1;

-- 发放优惠券张数最多的商家
SELECT Merchant_id
       ,COUNT(1) AS `cnt_coupon`
FROM ccf_offline_stage1_test_revised
WHERE YEAR(Date_received) = '2016'
  AND MONTH(Date_received) = '07'
GROUP BY Merchant_id
ORDER BY cnt_coupon DESC
LIMIT 1;

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?

-- 2015年⽤电最⾼峰是发⽣在哪⽉
SELECT PERIOD_DATE 
	,MAX(DATA_VALUE) max_value
 FROM `macro industry`
 	WHERE INDIC_ID = '2020101522'
 		AND YEAR(PERIOD_DATE) = 2015
	GROUP BY PERIOD_DATE
	ORDER BY max_value DESC
	LIMIT 1;
-- 并且相⽐去年同期增⻓/减少了多少个百分⽐?
SELECT PreData.*
	,ROUND((PreData.max_value - LastData.max_value) / LastData.max_value ,2) LastData
 FROM 
 	(SELECT PERIOD_DATE,
 			MAX(DATA_VALUE) max_value
 	  FROM `macro industry`
 		WHERE INDIC_ID = '2020101522'
 			AND YEAR(PERIOD_DATE) = 2015
 		GROUP BY PERIOD_DATE
 		ORDER BY max_value DESC
 		LIMIT 1) AS PreData
 LEFT JOIN -- LastData
 	(SELECT PERIOD_DATE,
 		MAX(DATA_VALUE) max_value
 	  FROM `macro industry`
 	WHERE INDIC_ID = '2020101522'
 		AND YEAR(PERIOD_DATE) = 2014
 	GROUP BY PERIOD_DATE ) AS LastData
 ON YEAR(PreData.PERIOD_DATE) = YEAR(LastData.PERIOD_DATE) + 1
 	AND MONTH(PreData.PERIOD_DATE) = MONTH(LastData.PERIOD_DATE);

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

-- 2016年6⽉期间,线上总体优惠券弃⽤率为多少?
SELECT SUM(CASE WHEN Date='0000-00-00' AND Coupon_id IS NOT NULL
				THEN 1
 				ELSE 0
 				END) 
 				
 		/SUM(CASE WHEN Coupon_id IS NOT NULL
	 				THEN 1
					ELSE 0
					END) AS discard_rate
 FROM ccf_online_stage1_train
	WHERE Date_received BETWEEN '2016-06-01' AND '2016-06-30';
-- 2016年6⽉期间,优惠券弃⽤率最⾼的商家?
SELECT Merchant_id
		,SUM(CASE WHEN Date = '0000-00-00' AND Coupon_id IS NOT NULL 
					THEN 1 
					ELSE 0 
					END) 
		/SUM(CASE WHEN Coupon_id IS NOT NULL
 					THEN 1
 					ELSE 0
 					END) AS discard_rate
 FROM ccf_online_stage1_train
	WHERE Date_received BETWEEN '2016-06-01' AND '2016-06-30'
	GROUP BY Merchant_id
	ORDER BY discard_rate DESC
	LIMIT 1;

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)

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

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)

-- 计算截⽌到2018年底,市值最⼤的三个⾏业是哪些?
SELECT TYPE_NAME_CN
	,SUM(MARKET_VALUE) '市值'
 FROM `market data`
	WHERE YEAR(END_DATE) = '2018-12-31'
	GROUP BY TYPE_NAME_CN
	ORDER BY SUM(MARKET_VALUE) DESC
	LIMIT 3;
	
-- 这三个⾏业⾥市值最⼤的三个公司是哪些?
SELECT CompanyData.TYPE_NAME_CN,
 	CompanyData.TICKER_SYMBOL
 FROM (SELECT TYPE_NAME_CN,
			 TICKER_SYMBOL,
			 MARKET_VALUE,
			 ROW_NUMBER() OVER(PARTITION BY TYPE_NAME_CN ORDER BY MARKET_VALUE) AS CompanyRanking
 		FROM `market data` ) CompanyData
 	LEFT JOIN
		(SELECT TYPE_NAME_CN,SUM(MARKET_VALUE)
 		   FROM `market data`
 			WHERE YEAR(END_DATE) = '2018-12-31'
 			GROUP BY TYPE_NAME_CN
 			ORDER BY SUM(MARKET_VALUE) DESC
 			LIMIT 3 ) top3Type
 ON CompanyData.TYPE_NAME_CN = top3Type.TYPE_NAME_CN
	WHERE CompanyRanking <= 3
 		AND top3Type.TYPE_NAME_CN IS NOT NULL

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。

SELECT User_id,
 		SUM(couponCount) couponCount
 FROM (SELECT User_id,
 			count(*) couponCount
 		FROM `ccf_online_stage1_train`
 			WHERE (Date != 'null' AND Coupon_id != 'null')
 				AND (LEFT(DATE,4)=2016 )
 			GROUP BY User_id
		UNION ALL
		
		 SELECT User_id,
 				COUNT(*) couponCount
 		   FROM `ccf_offline_stage1_train`
			WHERE (Date != 'null' AND Coupon_id != 'null')
 				AND (LEFT(DATE,4)=2016 )
			GROUP BY User_id ) BaseData
	GROUP BY User_id
	ORDER BY SUM(couponCount) DESC
	LIMIT 1

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。)

-- 因为正好是第⼀季度,所以不需要减。 如果是2季度,单季度净利润需要⽤2季度的值减去1⽉份的
SELECT *
 FROM (SELECT TICKER_SYMBOL,
			YEAR(END_DATE) Year,
			QUARTER(END_DATE) QUARTER,
			SUM(VALUE) Amount
		FROM `company operating`
			WHERE INDIC_NAME_EN = 'Baiyun Airport:Passenger throughput'
			GROUP BY TICKER_SYMBOL,YEAR(END_DATE),QUARTER(END_DATE)
			ORDER BY SUM(VALUE) DESC
			LIMIT 1 ) BaseData
LEFT JOIN -- income statement
	(SELECT TICKER_SYMBOL,
			YEAR(END_DATE) Year,
			QUARTER(END_DATE) QUARTER,
			SUM(N_INCOME) Amount
		FROM `income statement`
			GROUP BY TICKER_SYMBOL,YEAR(END_DATE),QUARTER(END_DATE) ) Income
			ON BaseData.TICKER_SYMBOL = Income.TICKER_SYMBOL
			AND BaseData.Year = Income.Year
			AND BaseData.QUARTER = Income.QUARTER

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。

SELECT Merchant_id,
		SUM(discount_amount) discount_amount
	FROM (SELECT Merchant_id,
				SUM(SUBSTRING_INDEX(`Discount_rate`,':',-1)) AS discount_amount
			FROM `ccf_online_stage1_train`
				WHERE (Date != 'null' AND Coupon_id != 'null')
					AND (LEFT(DATE,4)=2016 )
					AND MID(DATE,5,2) = '06'
				GROUP BY Merchant_id
			UNION ALL
			SELECT Merchant_id,
					SUM(SUBSTRING_INDEX(`Discount_rate`,':',-1)) AS discount_amount
				FROM `ccf_offline_stage1_train`
					WHERE (Date != 'null' AND Coupon_id != 'null')
						AND (LEFT(DATE,4)=2016 )
						AND MID(DATE,5,2) = '06'
					GROUP BY Merchant_id ) BaseData
	GROUP BY Merchant_id
	ORDER BY SUM(discount_amount) DESC
	LIMIT 1;

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