From 0f4e53ba4a93fbb4187e3f1cefc49cb934cf1488 Mon Sep 17 00:00:00 2001
From: youronlydimwit <79888425+youronlydimwit@users.noreply.github.com>
Date: Wed, 3 Jan 2024 16:12:06 +0700
Subject: [PATCH] Add files via upload

---
 SQL/Bike Store.sql | 119 ++++++++++++++++++++++++++++++++++++
 SQL/main.sql       | 146 +++++++++++++++++++++++++++++++++++++++++++++
 2 files changed, 265 insertions(+)
 create mode 100644 SQL/Bike Store.sql
 create mode 100644 SQL/main.sql

diff --git a/SQL/Bike Store.sql b/SQL/Bike Store.sql
new file mode 100644
index 0000000..a8019e9
--- /dev/null
+++ b/SQL/Bike Store.sql	
@@ -0,0 +1,119 @@
+create database BikeStore
+
+-- Adding Foreign Keys
+---- Products
+ALTER TABLE products
+ADD CONSTRAINT Brand_to_Prod
+FOREIGN KEY (brand_id) REFERENCES brands(brand_id);
+
+ALTER TABLE products
+ADD CONSTRAINT Cat_to_Prod
+FOREIGN KEY (category_id) REFERENCES categories(category_id);
+
+---- Staffs
+ALTER TABLE staffs
+ALTER COLUMN store_id TINYINT
+
+ALTER TABLE staffs
+ADD CONSTRAINT Store_to_Staff
+FOREIGN KEY (store_id) REFERENCES stores(store_id);
+
+---- Stocks
+ALTER TABLE stocks
+ADD CONSTRAINT Store_to_Stock
+FOREIGN KEY (store_id) REFERENCES stores(store_id);
+
+ALTER TABLE stocks
+ADD CONSTRAINT Prod_to_Stock
+FOREIGN KEY (product_id) REFERENCES products(product_id);
+
+---- Orders
+ALTER TABLE orders
+ADD CONSTRAINT PK_Orders
+PRIMARY KEY (order_id);
+
+ALTER TABLE orders
+ADD CONSTRAINT Cust_to_Orders
+FOREIGN KEY (customer_id) REFERENCES customers(customer_id);
+
+ALTER TABLE orders
+ADD CONSTRAINT Store_to_Orders
+FOREIGN KEY (store_id) REFERENCES stores(store_id);
+
+ALTER TABLE orders
+ADD CONSTRAINT Staff_to_Orders
+FOREIGN KEY (staff_id) REFERENCES staffs(staff_id);
+
+--- Order_Items
+ALTER TABLE order_items
+ADD CONSTRAINT orderItems_to_orders
+FOREIGN KEY (order_id) REFERENCES orders(order_id);
+
+-- BEGINNER LEVELS
+--- Retrieve a list of full names and ID's of customers in the database.
+SELECT DISTINCT
+[Customer ID] = customer_id,
+[Full Name] = CONCAT(first_name, ' ',last_name)
+FROM
+BikeStore.dbo.customers 
+
+--- Find the total number of orders placed by each customer, sort it from largest to smallest.
+SELECT
+[Customer ID] = C.customer_id,
+[Full Name] = CONCAT(C.first_name, ' ',C.last_name),
+[Order Count] = COUNT(O.order_id)
+FROM
+BikeStore.dbo.customers C join BikeStore.dbo.orders O on C.customer_id = O.customer_id
+GROUP BY
+C.customer_id, C.first_name, C.last_name
+ORDER BY
+[Order Count] desc
+
+--- List all the products in a specific category.
+SELECT
+[Category] = category_name,
+[Product Name] = product_name
+FROM products P join categories C on P.category_id = C.category_id
+
+--- Calculate the total sales (without discount) for a specific store.
+SELECT
+[Store Name] = store_name,
+[Total Sales] = CAST(SUM(O.list_price*quantity) as INT)
+FROM
+stores S join orders D on S.store_id = D.store_id join order_items O on D.order_id = O.order_id
+GROUP BY
+store_name
+ORDER BY
+[Store Name] desc
+
+--- Get the names of staff members working at Baldwin Bikes.
+SELECT
+[Full Name] = CONCAT(S.first_name, ' ',S.last_name)
+FROM
+staffs S join stores T on S.store_id = T.store_id
+WHERE T.store_name like 'Baldwin Bikes'
+
+--- Find the brands of products that are out of stock.
+SELECT DISTINCT
+[Brand] = B.brand_name,
+[Stock] = S.quantity
+FROM brands B join products P on B.brand_id = P.brand_id join stocks S on S.product_id = P.product_id
+WHERE S.quantity = 0
+
+--- Identify the store names, couunt of them buying from that store, placed by Onita Johns.
+SELECT
+[Full Name] = CONCAT(C.first_name, ' ',C.last_name),
+[Store Name] = S.store_name,
+[Count of Orders] = COUNT(order_id)
+FROM customers C join orders O on C.customer_id = O.customer_id join stores S on O.store_id = S.store_id
+WHERE C.first_name like 'Onita' AND C.last_name like 'Johns'
+GROUP BY
+C.first_name, C.last_name, S.store_name
+
+--- List all products that are only ordered <=5 times.
+SELECT
+[Product Name] = P.product_name,
+[Order Count] = COUNT(O.order_id)
+FROM order_items O join products P on P.product_id = O.product_id
+GROUP BY P.product_name
+HAVING COUNT(O.order_id) < 5 or COUNT(O.order_id) = 5
\ No newline at end of file
diff --git a/SQL/main.sql b/SQL/main.sql
new file mode 100644
index 0000000..3f0400c
--- /dev/null
+++ b/SQL/main.sql
@@ -0,0 +1,146 @@
+-- Calculate the total revenue generated by each store for year 2018.
+SELECT
+[Store Name] = S.store_name,
+[Gross Revenue] = FORMAT(SUM(OI.list_price*OI.quantity), 'N0'),
+[Net Revenue] = FORMAT(SUM((OI.list_price*OI.quantity)-((OI.list_price*OI.quantity)*OI.discount)), 'N0')
+FROM
+order_items OI join orders O on O.order_id = OI.order_id join stores S on O.store_id = S.store_id
+WHERE 
+YEAR(O.order_date) = 2018
+GROUP BY
+S.store_name
+
+--  Find the top 5 selling products across all stores based on the quantity sold.
+WITH RankedProducts AS (
+    SELECT
+        [Product Name] = P.product_name,
+        [qty_Sold] = SUM(OI.quantity),
+        [RANK] = DENSE_RANK() OVER (ORDER BY SUM(OI.quantity) DESC)
+    FROM
+        order_items OI
+        JOIN products P ON OI.product_id = P.product_id
+    GROUP BY
+        P.product_name
+)
+SELECT DISTINCT
+    [Product Name],
+    [qty_Sold],
+    [RANK]
+FROM
+    RankedProducts
+WHERE
+    [RANK] <= 5;
+
+
+-- Retrieve Jamaal Albert and Melia Brady's order history, including the order date, product details, and total amount spent.
+SELECT
+[Customer Name] = CONCAT(CU.first_name , ' ' , CU.last_name),
+[Order Date] = O.order_date,
+[Product details] = P.product_name,
+[Category] = C.category_name,
+[Amount spent] = FORMAT(SUM((OI.list_price*OI.quantity)-((OI.list_price*OI.quantity)*OI.discount)),'N0')
+FROM
+orders O 
+join order_items OI on O.order_id = OI.order_id 
+join products P on OI.product_id = P.product_id 
+join categories C on P.category_id = C.category_id
+join customers CU on CU.customer_id = O.customer_id
+WHERE (CU.first_name = 'Jamaal' and CU.last_name = 'Albert') OR (CU.first_name = 'Melia' and CU.last_name = 'Brady')
+GROUP BY
+CONCAT(CU.first_name, ' ' , CU.last_name), O.order_date, P.product_name, C.category_name
+ORDER BY
+[Customer Name] asc
+
+
+-- List the products that are running low on stock (quantity less than 10) in each store.
+SELECT
+[Store Name] = S.store_name,
+[Product Name] = P.product_name,
+[Stocks] = SUM(ST.quantity)
+FROM
+stores S join stocks ST on S.store_id = ST.store_id join products P on ST.product_id = P.product_id
+GROUP BY store_name, product_name
+HAVING SUM(ST.quantity) < 10
+ORDER BY [Stocks] desc
+
+-- List the products that are running low on stock (quantity less than 10) in each store.
+SELECT
+[Store  Name],
+[Product Name],
+[Sum Qty]
+FROM (
+    SELECT
+    [Store  Name] = S.store_name,
+    [Product Name] = P.product_name,
+    [Sum Qty] = SUM(ST.quantity)
+    FROM
+    stores S join stocks ST on S.store_id = ST.store_id join products P on ST.product_id = P.product_id
+    GROUP BY
+    store_name, product_name
+) as SUBQQ
+WHERE [Sum Qty] < 10
+
+--  Identify the top 5 staff members who have processed the highest total value of orders.
+SELECT TOP 5
+[Staff Name] = CONCAT(ST.first_name, ' ' , ST.last_name),
+[Orders Processed] = COUNT(O.order_id)
+FROM staffs ST join orders O on ST.staff_id = O.staff_id
+GROUP BY ST.first_name, ST.last_name
+ORDER BY [Orders Processed] desc
+
+-- category wise sales percentage XX
+SELECT
+[Category Name] = C.category_name,
+[Total Sales] = FORMAT(SUM((OI.list_price*OI.quantity)-((OI.list_price*OI.quantity)*OI.discount)),'N0'),
+[Percentage] = FORMAT((SUM((OI.list_price*OI.quantity)-((OI.list_price*OI.quantity)*OI.discount)) / 
+				SUM(SUM((OI.list_price * OI.quantity) - ((OI.list_price * OI.quantity) * OI.discount))) OVER ()),'#.##%')
+FROM
+categories C join products P on C.category_id = P.category_id join order_items OI on OI.product_id = P.product_id
+GROUP BY C.category_name
+ORDER BY [Percentage] desc
+
+-- Identify staff members who are marked as inactive (1) and have not processed any orders.
+SELECT
+[Staff Name] = CONCAT(S.first_name, ' ' , S.last_name)
+FROM staffs S join orders O on O.staff_id = S.staff_id
+WHERE S.active = 1
+GROUP BY S.first_name, S.last_name
+HAVING count(O.order_id) = 0
+
+-- Customer Loyalty
+WITH Loyalty AS(
+	SELECT
+	[Customer Name] = CONCAT(C.first_name, ' ' , C.last_name),
+	[Stores] = S.store_name,
+	[Store_Orders] = COUNT(DISTINCT S.store_name),
+	[Count_Orders] = COUNT(O.order_id),
+	[Avg_Spending] = AVG((OI.list_price*OI.quantity)-((OI.list_price*OI.quantity)*OI.discount))
+	FROM
+	customers C 
+	join orders O on C.customer_id = O.customer_id 
+	join order_items OI on O.order_id = OI.order_id
+	join stores S on S.store_id = O.store_id
+	GROUP BY
+	C.first_name, C.last_name, S.store_name, O.order_id
+)
+SELECT
+[Customer Name],
+[Stores],
+[Count_Orders],
+[Avg_Spending]
+FROM
+Loyalty
+WHERE [Store_Orders] > 1
+
+-- Calculate the average discount amount applied to products in each product category.
+SELECT
+[Product Category] = C.category_name,
+[Average Discount] = FORMAT(AVG(OI.list_price*OI.discount),'N0')
+FROM 
+categories C 
+join products P on C.category_id = P.category_id 
+join order_items OI on OI.product_id = P.product_id
+GROUP BY
+C.category_name
+
+