天池SQL训练营Task06-10道练习/2021-05-28
作者：互联网
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；
-- 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 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 md.TICKER_SYMBOL,
md.END_DATE,
md.CLOSE_PRICE,
ist.TICKER_SYMBOL,
ist.END_DATE,
ist.T_REVENUE,
ist.T_COGS,
ist.N_INCOME,
co.TICKER_SYMBOL,
co.INDIC_NAME_EN,
co.END_DATE,
co.`VALUE`
FROM `market data` md
INNER JOIN `income statement` ist
ON md.TICKER_SYMBOL = ist.TICKER_SYMBOL AND md.END_DATE = ist.END_DATE
INNER JOIN `company operating` co
ON md.TICKER_SYMBOL = co.TICKER_SYMBOL AND md.END_DATE = co.END_DATE
WHERE md.TICKER_SYMBOL in (600383,600048)
-- 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”）
SELECT *,DENSE_RANK() over(ORDER BY `citric acid`)
FROM `winequality-red`
WHERE ph=3.03
-- 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。
-- 金额最多
SELECT SUM(Discount_rate),Merchant_id
FROM ccf_offline_stage1_test_revised
GROUP BY Merchant_id
ORDER BY SUM(Discount_rate) DESC
LIMIT 1
-- 券数最多
SELECT Merchant_id
FROM ccf_offline_stage1_test_revised
GROUP BY Merchant_id
ORDER BY COUNT(Coupon_id) DESC
LIMIT 1
--
-- 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？
-- 最高峰月份
SELECT PERIOD_DATE
FROM `macro industry` mi
WHERE YEAR(PERIOD_DATE) ="2015" AND indic_id = "2020101522"
GROUP BY PERIOD_DATE
ORDER BY max(DATA_VALUE) DESC
LIMIT 1
-- 比去年同期
SELECT ROUND((any_value(m2.val)-max(m1.DATA_VALUE))/max(m1.DATA_VALUE),2) compare_rate
FROM `macro industry` m1,
(
SELECT PERIOD_DATE,max(DATA_VALUE)val
FROM `macro industry` mi
WHERE YEAR(PERIOD_DATE) ="2015" AND indic_id = "2020101522"
GROUP BY PERIOD_DATE
ORDER BY max(DATA_VALUE) DESC
LIMIT 1
)m2
WHERE YEAR(m1.PERIOD_DATE) ="2014" AND m1.indic_id = "2020101522" AND MONTH(m1.PERIOD_DATE) = MONTH(m2.PERIOD_DATE)
GROUP BY m1.PERIOD_DATE
ORDER BY max(m1.DATA_VALUE) DESC
LIMIT 1
-- 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
-- Date_received领取优惠券日期
-- Date消费日期：如果Date=null & Coupon_id != null，该记录表示领取优惠券但没有使用，即负样本；如果Date!=null & Coupon_id = null，则表示普通消费日期；如果Date!=null & Coupon_id != null，则表示用优惠券消费日期，即正样本；
-- 1
SELECT SUM(CASE WHEN Date is NULL 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'; 
-- 2
SELECT Merchant_id
,SUM(CASE WHEN Date is NULL 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;
-- 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）
SELECT *,RANK() over(order by `residual sugar`)
FROM `winequality-white`
WHERE pH=3.63
--
-- 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）
-- 1
SELECT SUM(MARKET_VALUE),TYPE_NAME_CN
FROM `market data`
WHERE YEAR(END_DATE) = '2018'
GROUP BY TYPE_NAME_CN
ORDER BY SUM(MARKET_VALUE) DESC
LIMIT 3
-- 2
SELECT m1.TYPE_NAME_CN,
m1.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` )m1
LEFT JOIN
(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 ) top3Type
ON m1.TYPE_NAME_CN = top3Type.TYPE_NAME_CN
WHERE CompanyRanking <= 3
AND top3Type.TYPE_NAME_CN IS NOT NULL
--
-- 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。
--
SELECT User_id ,SUM(count1.countnumber) number
FROM (SELECT User_id ,COUNT(*) countnumber
FROM ccf_offline_stage1_train
WHERE LEFT(Date,6)="201606" AND( Coupon_id is NOT NULL AND Date is not NULL)
GROUP BY User_id
UNION ALL
SELECT User_id,COUNT(*) countnumber
FROM ccf_online_stage1_train
WHERE MONTH(Date) = "06" AND( Coupon_id is NOT NULL AND Date is NOT NULL)
GROUP BY User_id
)count1
GROUP BY User_id
ORDER BY SUM(count1.countnumber) DESC
LIMIT 1
-- 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。）
SELECT *
FROM (SELECT QUARTER(END_DATE)QUARTER,YEAR(END_DATE)Year,TICKER_SYMBOL,SUM(`VALUE`)TunTu
FROM `company operating`
WHERE INDIC_NAME_EN = "Baiyun Airport:Aircraft take-off and landing times"
GROUP BY TICKER_SYMBOL,YEAR(END_DATE),QUARTER(END_DATE)
ORDER BY SUM(`VALUE`)
LIMIT 1)jidu
LEFT JOIN
(SELECT TICKER_SYMBOL,
YEAR(END_DATE) Year,
QUARTER(END_DATE) QUARTER,
SUM(N_INCOME) JingLiRun
FROM `income statement`
GROUP BY TICKER_SYMBOL,YEAR(END_DATE),QUARTER(END_DATE) ) Income
ON jidu.TICKER_SYMBOL = Income.TICKER_SYMBOL
AND jidu.Year = Income.Year
AND jidu.QUARTER = Income.QUARTER
--
-- 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。
SELECT Merchant_id ,SUM(number) number
FROM (
SELECT Merchant_id ,SUM(SUBSTRING_INDEX(`Discount_rate`,':',-1)) number
FROM ccf_online_stage1_train
WHERE LEFT(Date,6)="201606" AND( Coupon_id is NOT NULL AND Date is NOT NULL)
GROUP BY Merchant_id
UNION ALL
SELECT Merchant_id ,SUM(SUBSTRING_INDEX(`Discount_rate`,':',-1)) number
FROM ccf_offline_stage1_train
WHERE LEFT(Date,6)="201606" AND( Coupon_id is NOT NULL AND Date is not NULL)
GROUP BY Merchant_id
)count1
GROUP BY Merchant_id
ORDER BY SUM(number) DESC
LIMIT 3
完毕.
标签：10,END,05,--,28,DATE,TICKER,id,SELECT 来源： https://blog.csdn.net/weixin_37805328/article/details/117376074