SQL CASE STUDY of a cycle company using SQL & Power BI
-- Table: Product
DROP TABLE IF EXISTS Product;
CREATE TABLE Product (
ProductID INT PRIMARY KEY,
ProductName VARCHAR(100),
Category VARCHAR(50),
Price DECIMAL(10, 2)
);
-- Table: Stores
DROP TABLE IF EXISTS Stores;
CREATE TABLE Stores (
StoreID INT PRIMARY KEY,
StoreName VARCHAR(100),
Location VARCHAR(100),
StoreType VARCHAR(50)
);
-- Table: Customers
DROP TABLE IF EXISTS Customers;
CREATE TABLE Customers (
CustomerID INT PRIMARY KEY,
FirstName VARCHAR(50),
LastName VARCHAR(50),
Age INT,
Gender VARCHAR(10),
City VARCHAR(100)
);
-- Table: Sales
DROP TABLE IF EXISTS Sales;
CREATE TABLE Sales (
SaleID INT PRIMARY KEY,
ProductID INT,
StoreID INT,
CustomerID INT,
SaleDate DATE,
QuantitySold INT,
TotalRevenue DECIMAL(10, 2),
PromotionApplied VARCHAR(10)
);
INSERT INTO Product (ProductID, ProductName, Category, Price) VALUES
(1, 'Mountain Explorer', 'Mountain Bike', 1200.00),
(2, 'City Cruiser', 'Hybrid Bike', 850.00),
(3, 'Speedster', 'Road Bike', 1500.00),
(4, 'Trail Blazer', 'Mountain Bike', 1300.00),
(5, 'Eco Rider', 'Hybrid Bike', 700.00),
(6, 'Road Warrior', 'Road Bike', 1600.00),
(7, 'Urban Commuter', 'Hybrid Bike', 900.00),
(8, 'Hill Master', 'Mountain Bike', 1400.00),
(9, 'Touring Pro', 'Road Bike', 1700.00),
(10, 'Adventure Seeker', 'Mountain Bike', 1350.00);
INSERT INTO Stores (StoreID, StoreName, Location, StoreType) VALUES
(1, 'Downtown Bikes', 'New York', 'Physical'),
(2, 'Urban Wheels', 'San Francisco', 'Physical'),
(3, 'BikeHub Online', 'Online', 'Online'),
(4, 'Cycle World', 'Chicago', 'Physical'),
(5, 'GreenCycles', 'Seattle', 'Physical'),
(6, 'Pedal Pushers', 'Los Angeles', 'Physical'),
(7, 'BikeNation', 'Houston', 'Physical'),
(8, 'CycleCity', 'Miami', 'Physical'),
(9, 'Spin Zone', 'Boston', 'Physical'),
(10, 'Velocity Cycles', 'Denver', 'Physical');
INSERT INTO Customers (CustomerID, FirstName, LastName, Age, Gender, City) VALUES
(1, 'John', 'Doe', 28, 'Male', 'New York'),
(2, 'Jane', 'Smith', 34, 'Female', 'San Francisco'),
(3, 'Emily', 'Jones', 22, 'Female', 'Chicago'),
(4, 'Michael', 'Brown', 40, 'Male', 'Seattle'),
(5, 'Sarah', 'Wilson', 29, 'Female', 'New York'),
(6, 'David', 'Taylor', 31, 'Male', 'Los Angeles'),
(7, 'Anna', 'White', 25, 'Female', 'Houston'),
(8, 'Chris', 'Green', 37, 'Male', 'Miami'),
(9, 'Laura', 'Hall', 30, 'Female', 'Boston'),
(10, 'Tom', 'Davis', 45, 'Male', 'Denver');
INSERT INTO Sales (SaleID, ProductID, StoreID, CustomerID, SaleDate, QuantitySold, TotalRevenue, PromotionApplied) VALUES
(1, 1, 1, 1, '2024-01-15', 1, 1200.00, 'No'),
(2, 3, 2, 2, '2024-02-20', 1, 1500.00, 'Yes'),
(3, 2, 3, 3, '2024-03-10', 2, 1700.00, 'No'),
(4, 4, 4, 4, '2024-04-05', 1, 1300.00, 'Yes'),
(5, 5, 5, 5, '2024-05-22', 3, 2100.00, 'No'),
(6, 6, 6, 6, '2024-06-18', 1, 1600.00, 'Yes'),
(7, 7, 7, 7, '2024-07-25', 2, 1800.00, 'No'),
(8, 8, 8, 8, '2024-08-10', 1, 1400.00, 'No'),
(9, 9, 9, 9, '2024-09-12', 1, 1700.00, 'Yes'),
(10, 10, 10, 10, '2024-10-15', 2, 2700.00, 'No'),
(11, 1, 1, 6, '2024-11-20', 1, 1200.00, 'Yes'),
(12, 3, 2, 7, '2024-12-10', 1, 1500.00, 'No'),
(13, 2, 3, 8, '2024-01-25', 2, 1700.00, 'No'),
(14, 4, 4, 9, '2024-02-05', 1, 1300.00, 'Yes'),
(15, 5, 5, 10, '2024-03-15', 3, 2100.00, 'No'),
(16, 6, 6, 1, '2024-04-18', 1, 1600.00, 'Yes'),
(17, 7, 7, 2, '2024-05-22', 2, 1800.00, 'No'),
(18, 8, 8, 3, '2024-06-25', 1, 1400.00, 'No'),
(19, 9, 9, 4, '2024-07-30', 1, 1700.00, 'Yes'),
(20, 10, 10, 5, '2024-08-05', 2, 2700.00, 'No'),
(21, 1, 1, 6, '2024-09-10', 1, 1200.00, 'No'),
(22, 3, 2, 7, '2024-10-20', 1, 1500.00, 'Yes'),
(23, 2, 3, 8, '2024-11-15', 2, 1700.00, 'No'),
(24, 4, 4, 9, '2024-12-18', 1, 1300.00, 'Yes'),
(25, 5, 5, 10, '2024-01-22', 3, 2100.00, 'No'),
(26, 6, 6, 1, '2024-02-25', 1, 1600.00, 'Yes'),
(27, 7, 7, 2, '2024-03-05', 2, 1800.00, 'No'),
(28, 8, 8, 3, '2024-04-10', 1, 1400.00, 'No'),
(29, 9, 9, 4, '2024-05-15', 1, 1700.00, 'Yes'),
(30, 10, 10, 5, '2024-06-20', 2, 2700.00, 'No');
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