Task06:综合练习题-10道经典题目-天池龙珠计划SQL训练营

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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:tianchi.aliyun.com/specials/pr…

练习题1:

数据来源:tianchi.aliyun.com/dataset/dat…

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

答案:

SELECT MarketData.*,
       OperatingData.INDIC_NAME_EN,
       OperatingData.VALUE,
       IncomeStatement.N_INCOME,
       IncomeStatement.T_COGS,
       IncomeStatement.T_REVENUE
FROM (SELECT TICKER_SYMBOL,
             END_DATE,
             CLOSE_PRICE
       FROM market data
       WHERE TICKER_SYMBOL IN ('600383','600048') ) MarketData
LEFT JOIN
     (SELECT TICKER_SYMBOL,
         INDIC_NAME_EN,
         END_DATE,
         VALUE
     FROM company operating
     WHERE TICKER_SYMBOL IN ('600383','600048') ) OperatingData
ON MarketData.TICKER_SYMBOL = OperatingData.TICKER_SYMBOL
AND MarketData.END_DATE = OperatingData.END_DATE
LEFT JOIN 
      (SELECT DISTINCT TICKER_SYMBOL,
          END_DATE,
          T_REVENUE,
          T_COGS,
          N_INCOME
        FROM income statement
        WHERE TICKER_SYMBOL IN ('600383','600048') ) IncomeStatement
ON MarketData.TICKER_SYMBOL = IncomeStatement.TICKER_SYMBOL
AND MarketData.END_DATE = IncomeStatement.END_DATE
ORDER BY MarketData.TICKER_SYMBOL, MarketData.END_DATE

练习题2:

数据来源:tianchi.aliyun.com/dataset/dat…

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”)

答案:

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

练习题3:

数据来源:tianchi.aliyun.com/competition…

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。

答案:

-- 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 
FROM 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:

数据来源:tianchi.aliyun.com/dataset/dat…

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?

答案:

-- 2015年⽤电最⾼峰是发⽣在哪⽉
SELECT PERIOD_DATE,
     MAX(DATA_VALUE) FianlValue
 FROM `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 YoY
FROM (SELECT PERIOD_DATE,
         MAX(DATA_VALUE) FianlValue
     FROM `macro industry`
     WHERE INDIC_ID = '2020101522'
     AND YEAR(PERIOD_DATE) = 2015
     GROUP BY PERIOD_DATE
     ORDER BY FianlValue DESC
     LIMIT 1) BaseData
LEFT JOIN 
     (SELECT PERIOD_DATE,
         MAX(DATA_VALUE) FianlValue
     FROM `macro industry`
     WHERE INDIC_ID = '2020101522'
     AND YEAR(PERIOD_DATE) = 2014
     GROUP BY PERIOD_DATE ) YoY
ON YEAR(BaseData.PERIOD_DATE) = YEAR(YoY.PERIOD_DATE) + 1
AND MONTH(BaseData.PERIOD_DATE) = MONTH(YoY.PERIOD_DATE);

练习题5:

数据来源:tianchi.aliyun.com/competition…

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

答案:

-- 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;

练习题6:

数据来源:tianchi.aliyun.com/dataset/dat…

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)

答案:

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

练习题7:

数据来源:tianchi.aliyun.com/dataset/dat…

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)

答案:

-- 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) = '2018-12-31'
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 BaseData.TYPE_NAME_CN,
 BaseData.TICKER_SYMBOL
FROM (SELECT TYPE_NAME_CN,
         TICKER_SYMBOL,
         MARKET_VALUE,
         ROW_NUMBER() OVER(PARTITION BY TYPE_NAME_CN ORDER BY MARKET_VALUE) CompanyRanking
      FROM `market data` ) BaseData
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 BaseData.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:tianchi.aliyun.com/competition…

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。

答案:

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

练习题9:

数据来源:tianchi.aliyun.com/dataset/dat…

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。)

答案:

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 
     (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

练习题10:

数据来源:tianchi.aliyun.com/competition…

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。

答案:

 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