如果你还没有学习过SQL训练营的以下知识,请查阅主页博文学习:
Task 1 SQL基础:初识数据库与SQL-安装与基本介绍等
Task 2 SQL基础:查询与排序-select、运算符、聚合分组查询等
Task 3 SQL进阶:复杂查询方法-视图、子查询、函数等
Task 4 SQL进阶: 集合运算-表的加减法和join等
Task 5 SQL进阶:SQL高级处理-窗口函数等
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:https://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:将三张表中的TICKER_SYMBOL为600383和600048的信息合并在一起。
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 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 |
SELECT MarketData.*,OperatingData.INDIC_NAME_EN,OperatingData.VALUE,IncomeStatement.N_INCOME,IncomeStatement.T_COGS,IncomeStatement.T_REVENUE FROM ( SELECT TICKER_SYMBOL,END_DATE,CLOSE_PRICEFROM `market data` WHERE TICKER_SYMBOL IN ('600383','600048') ) MarketDataLEFT JOIN -- operating data(SELECT TICKER_SYMBOL,INDIC_NAME_EN,END_DATE,VALUE FROM `company operating`WHERE TICKER_SYMBOL IN ('600383','600048') ) OperatingDataON MarketData.TICKER_SYMBOL = OperatingData.TICKER_SYMBOLAND MarketData.END_DATE = OperatingData.END_DATELEFT JOIN -- income statement(SELECT DISTINCT TICKER_SYMBOL,END_DATE,T_REVENUE,T_COGS,N_INCOMEFROM `income statement`WHERE TICKER_SYMBOL IN ('600383','600048') ) IncomeStatement
ON MarketData.TICKER_SYMBOL = IncomeStatement.TICKER_SYMBOLAND MarketData.END_DATE = IncomeStatement.END_DATE
ORDER BY MarketData.TICKER_SYMBOL, MarketData.END_DATE
练习题2:找出 pH=3.03的所有红葡萄酒,然后,对其 citric acid 进行中式排名
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 rankn
FROM `winequality-red`
WHERE pH= 3.03;
练习题3:发放优惠券总金额最多和发放优惠券张数最多的商家。
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 sale_amount,SUM(SUBSTRING_INDEX(`Discount_rate`,':',-1)) AS discount_amountFROM 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 cntFROM ccf_offline_stage1_test_revised
WHERE Date_received BETWEEN '2016-07-01' AND '2016-07-31'
GROUP BY Merchant_id
ORDER BY cnt DESC
LIMIT 1;
练习题4:计算全社会用电量
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) FianlValueFROM `macro industry`
WHERE INDIC_ID = '2020101522'AND YEAR(PERIOD_DATE) = 2015
GROUP BY PERIOD_DATE
ORDER BY FianlValue DESC
LIMIT 1;-- 并且相⽐去年同期增⻓/减少了多少个百分⽐?
SELECT BaseData.*,(BaseData.FianlValue - YoY.FianlValue) / YoY.FianlValue YoYFROM (SELECT PERIOD_DATE,MAX(DATA_VALUE) FianlValueFROM `macro industry`WHERE INDIC_ID = '2020101522'AND YEAR(PERIOD_DATE) = 2015GROUP BY PERIOD_DATE ORDER BY FianlValue DESCLIMIT 1) BaseDataLEFT JOIN -- YOY (SELECT PERIOD_DATE,MAX(DATA_VALUE) FianlValueFROM `macro industry`WHERE INDIC_ID = '2020101522'AND YEAR(PERIOD_DATE) = 2014GROUP BY PERIOD_DATE ) YoYON YEAR(BaseData.PERIOD_DATE) = YEAR(YoY.PERIOD_DATE) + 1AND MONTH(BaseData.PERIOD_DATE) = MONTH(YoY.PERIOD_DATE);
练习题5:找出优惠券弃用率最高的商家
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 NULLTHEN 1ELSE 0END) /SUM(CASE WHEN Coupon_id IS NOT NULLTHEN 1ELSE 0END) 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 1ELSE 0END) /SUM(CASE WHEN Coupon_id IS NOT NULLTHEN 1ELSE 0END) AS discard_rateFROM 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;
练习题6: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
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 ranknFROM `winequality-white`
WHERE pH= 3.63;
练习题7:市值最大的三个行业是哪些
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)FROM `market data`
WHERE YEAR(END_DATE) = 2018
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?思路:求前三得行业以及每个行业前三的公司
SELECT BaseData.TYPE_NAME_CN,BaseData.TICKER_SYMBOLFROM (SELECT TYPE_NAME_CN,TICKER_SYMBOL,MARKET_VALUE,ROW_NUMBER() OVER(PARTITION BY TYPE_NAME_CN ORDER BY MARKET_VALUE)CompanyRankingFROM `market data` ) BaseDataLEFT JOIN( SELECT TYPE_NAME_CN,SUM(MARKET_VALUE)FROM `market data`WHERE YEAR(END_DATE) = 2018GROUP BY TYPE_NAME_CNORDER BY SUM(MARKET_VALUE) DESCLIMIT 3 ) top3TypeON BaseData.TYPE_NAME_CN = top3Type.TYPE_NAME_CN
WHERE BaseData.CompanyRanking <= 3AND top3Type.TYPE_NAME_CN IS NOT NULL
练习题8:线上线下累计优惠券使用次数最多的顾客。
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) couponCountFROM (SELECT User_id,count(*) couponCountFROM `ccf_online_stage1_train`WHERE (Date != 'null' AND Coupon_id != 'null')AND (LEFT(DATE,7)='2016-06' )GROUP BY User_idUNION ALL SELECT User_id,COUNT(*) couponCountFROM `ccf_offline_stage1_train`WHERE (Date != 'null' AND Coupon_id != 'null')AND (LEFT(DATE,7)='2016-06' )GROUP BY User_id ) BaseData
GROUP BY User_id
ORDER BY SUM(couponCount) DESC
LIMIT 1
练习题9: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?
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) AmountFROM `company operating`WHERE INDIC_NAME_EN = 'Baiyun Airport:Passenger throughput'GROUP BY TICKER_SYMBOL,YEAR(END_DATE),QUARTER(END_DATE)ORDER BY SUM(VALUE) DESCLIMIT 1 ) BaseDataLEFT JOIN -- income statement(SELECT TICKER_SYMBOL,YEAR(END_DATE) Year,QUARTER(END_DATE) QUARTER,SUM(N_INCOME) AmountFROM `income statement`GROUP BY TICKER_SYMBOL,YEAR(END_DATE),QUARTER(END_DATE) ) IncomeON BaseData.TICKER_SYMBOL = Income.TICKER_SYMBOLAND BaseData.Year = Income.YearAND BaseData.QUARTER = Income.QUARTER;
练习题10:线上线下累计被使用优惠券满减最多的前3名商家
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_amountFROM (SELECT Merchant_id,SUM(SUBSTRING_INDEX(`Discount_rate`,':',-1)) AS discount_amountFROM `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_idUNION ALL SELECT Merchant_id,SUM(SUBSTRING_INDEX(`Discount_rate`,':',-1)) AS discount_amountFROM `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 3;