└── Data-Mining
    └── retail.sql


/Data-Mining/retail.sql:
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 1 | create schema retailshop;
 2 | use retailshop;
 3 | select * from online_retail;
 4 | 
 5 | SELECT customerID, 
 6 | SUM(Quantity * UnitPrice) AS TotalSpace
 7 | FROM online_retail
 8 | GROUP BY CustomerID
 9 | limit 10;
10 | 
11 | SELECT CustomerID,count(DISTINCT StockCode) AS UniqueProduct
12 | FROM online_retail
13 | Group by CustomerID
14 | 
15 | SELECT CustomerID,count(distinct InvoiceNo) AS NumberOfPurchase
16 | FROM online_retail
17 | group by CustomerID
18 | having count(distinct InvoiceNo) = 1;
19 | 
20 | SELECT A.StockCode AS Product1,
21 | 	   B.StockCode AS Product2,
22 |        count(*) AS TimePurchasedTogether
23 | FROM online_retail AS A
24 | join online_retail B ON A.InvoiceNo = B.InvoiceNO AND A.StockCode> B.StockCode
25 | group by A.StockCode, B. StockCode
26 | order by TimePurchasedTogether desc;
27 | 
28 | #AdvanceQueries
29 | select CustomerID,
30 | count(InvoiceNO) AS PurchaseFrequency
31 | from online_retail 
32 | group by CustomerID
33 | order by PurchaseFrequency desc;
34 | 
35 | select Country,
36 | avg(UnitPrice * Quantity) AS AverageOrderValue
37 | from online_retail
38 | group by Country
39 | order by AverageOrderValue desc;
40 | 
41 | select CustomerID,
42 | max(InvoiceDate) AS LastPurchaseDate
43 | from online_retail
44 | group by CustomerID
45 | having max(InvoiceDate) < date_sub(curdate(), interval 6 month);
46 | 
47 | SELECT A.StockCode AS Product1,
48 | 	   B.StockCode AS Product2,
49 |        count(*) AS TimePurchasedTogether
50 | FROM online_retail AS A
51 | join online_retail B ON A.InvoiceNo = B.InvoiceNO AND A.StockCode < B.StockCode
52 | group by A.StockCode, B. StockCode
53 | order by TimePurchasedTogether desc;
54 | 
55 | SELECT 
56 |   YEAR(InvoiceDate) AS Year, 
57 |   MONTH(InvoiceDate) AS Month, 
58 |   SUM(UnitPrice * Quantity) AS TotalSales
59 | FROM 
60 |   online_retail
61 | GROUP BY 
62 |   Year, Month
63 | ORDER BY 
64 |   Year, Month;
65 | 
66 | 
67 | 


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