Read Note.txt

Data Set:
Superstore Sales

The Superstore Sales data provides sales data for a fictional retail company, including information on products, orders and customers. It is often used to practice data analytics.

Data Description:

This Excel dataset includes the following variables:

Order ID - A unique identifier for each order.
Customer ID - A unique identifier for each customer.
Order Date - The date of the order placement.
Ship Date - The date the order was shipped.
Ship Mode - The shipping mode for the order (e.g. standard, same-day).
Segment - The customer segment (e.g. Consumer, Corporate, Home Office).
Region - The region where the customer is located (e.g. West, Central, East).
Category - The category of the product purchased (e.g. Furniture, Technology, Office Supplies).
Sub-Category - The sub-category of the product purchased (e.g. Chairs, Desktops, Paper).
Product Name - The name of the product purchased.
Sales - The sales revenue for the product purchased.
Quantity - The number of units of the product purchased.
Discount - The discount applied to the product purchased.
Profit -The profit generated by the product purchased.


Common Practice Questions:

What is the total revenue generated by the store?
Which category of products contributes the most to sales?
How has the sales trend been for the past year?
Which region has the highest sales and which one has the lowest?
What is the average profit margin of the store?