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E-Commerce SQL Analysis by Ran Li
drop table if exists E_customers; CREATE TABLE E_customers ("customerid" int, "country" varchar(11)) ; INSERT INTO E_customers ("customerid", "country") VALUES (1, 'Germany'), (2, 'Mexico'), (3, 'Mexico'), (4, 'UK'), (5, 'Sweden'), (6, 'Germany'), (7, 'France'), (8, 'Spain'), (9, 'France'), (10, 'Canada'), (11, 'UK'), (12, 'Argentina'), (13, 'Mexico'), (14, 'Switzerland'), (15, 'Brazil'), (16, 'UK'), (17, 'Germany'), (18, 'France'), (19, 'UK'), (20, 'Austria') ; drop table if exists E_categories; CREATE TABLE E_categories ("categoryid" int, "categoryname" varchar(14)) ; INSERT INTO E_categories ("categoryid", "categoryname") VALUES (1, 'Beverages'), (2, 'Condiments'), (3, 'Confections'), (4, 'Dairy Products'), (5, 'Grains/Cereals'), (6, 'Meat/Poultry'), (7, 'Produce'), (8, 'Seafood') ; drop table if exists E_employees; CREATE TABLE E_employees ("employeeid" int, "birthdate" timestamp) ; INSERT INTO E_employees ("employeeid", "birthdate") VALUES (1, '1968-12-08'), (2, '1952-02-19'), (3, '1963-08-30'), (4, '1958-09-19'), (5, '1955-03-04') ; drop table if exists E_orderdetails; CREATE TABLE E_orderdetails ("orderid" int, "productid" int, "quantity" int) ; INSERT INTO E_orderdetails ("orderid", "productid", "quantity") VALUES (10248, 11, 12), (10248, 42, 10), (10248, 72, 5), (10249, 14, 9), (10249, 51, 40), (10250, 41, 10), (10250, 51, 35), (10250, 65, 15), (10251, 22, 6), (10251, 57, 15), (10251, 65, 20), (10252, 20, 40), (10252, 33, 25), (10252, 60, 40), (10253, 31, 20), (10253, 39, 42), (10253, 49, 40), (10254, 24, 15), (10254, 55, 21), (10254, 74, 21), (10255, 2, 20), (10255, 16, 35), (10255, 36, 25), (10255, 59, 30), (10256, 53, 15), (10256, 77, 12), (10257, 27, 25), (10257, 39, 6), (10257, 77, 15), (10258, 2, 50), (10258, 5, 65), (10258, 32, 6), (10259, 21, 10), (10259, 37, 1), (10260, 41, 16), (10260, 57, 50), (10260, 62, 15), (10260, 70, 21), (10261, 21, 20), (10261, 35, 20), (10262, 5, 12), (10262, 7, 15), (10262, 56, 2), (10263, 16, 60), (10263, 24, 28), (10263, 30, 60), (10263, 74, 36), (10264, 2, 35), (10264, 41, 25), (10265, 17, 30), (10265, 70, 20), (10266, 12, 12), (10267, 40, 50), (10267, 59, 70), (10267, 76, 15), (10268, 29, 10), (10268, 72, 4), (10269, 33, 60), (10269, 72, 20), (10270, 36, 30), (10270, 43, 25), (10271, 33, 24), (10272, 20, 6), (10272, 31, 40), (10272, 72, 24), (10273, 10, 24), (10273, 31, 15), (10273, 33, 20), (10273, 40, 60), (10273, 76, 33), (10274, 71, 20), (10274, 72, 7), (10275, 24, 12), (10275, 59, 6), (10276, 10, 15), (10276, 13, 10), (10277, 28, 20), (10277, 62, 12), (10278, 44, 16), (10278, 59, 15), (10278, 63, 8), (10278, 73, 25), (10279, 17, 15), (10280, 24, 12), (10280, 55, 20), (10280, 75, 30), (10281, 19, 1), (10281, 24, 6), (10281, 35, 4), (10282, 30, 6), (10282, 57, 2), (10283, 15, 20), (10283, 19, 18), (10283, 60, 35), (10283, 72, 3), (10284, 27, 15), (10284, 44, 21), (10284, 60, 20), (10284, 67, 5) ; drop table if exists E_orders; CREATE TABLE E_orders ("orderid" int, "customerid" int) ; INSERT INTO E_orders ("orderid", "customerid") VALUES (10248, 90), (10249, 81), (10250, 34), (10251, 84), (10252, 76), (10253, 34), (10254, 14), (10255, 68), (10256, 88), (10257, 35), (10258, 20), (10259, 13), (10260, 55), (10261, 61), (10262, 65), (10263, 20), (10264, 24), (10265, 7), (10266, 87) ; drop table if exists E_products; CREATE TABLE E_products ("productid" int, "categoryid" int, "price" int) ; INSERT INTO E_products ("productid", "categoryid", "price") VALUES (1, 1, 18), (2, 1, 19), (3, 2, 10), (4, 2, 22), (5, 2, 21.35), (6, 2, 25), (7, 7, 30), (8, 2, 40), (9, 6, 97), (10, 8, 31), (11, 4, 21), (12, 4, 38), (13, 8, 6), (14, 7, 23.25), (15, 2, 15.5), (16, 3, 17.45), (17, 6, 39), (18, 8, 62.5), (19, 3, 9.2), (20, 3, 81), (21, 3, 10), (22, 5, 21), (23, 5, 9), (24, 1, 4.5), (25, 3, 14), (26, 3, 31.23), (27, 3, 43.9), (28, 7, 45.6), (29, 6, 123.79), (30, 8, 25.89), (31, 4, 12.5), (32, 4, 32), (33, 4, 2.5), (34, 1, 14), (35, 1, 18), (36, 8, 19), (37, 8, 26), (38, 1, 263.5), (39, 1, 18), (40, 8, 18.4), (41, 8, 9.65), (42, 5, 14), (43, 1, 46), (44, 2, 19.45), (45, 8, 9.5), (46, 8, 12), (47, 3, 9.5), (48, 3, 12.75), (49, 3, 20) ;
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E-commerce Website SQL Analysis