This simple dataset gives insights on online orders of a US superstore from 2015-2018.

There are total 21 variables in our dataset:

• 'Row ID' - This is nothing but Serial No.
• 'Order ID' - ID created when a product order is placed.
• 'Order Date' - Date on which a customer places his/her order.
• 'Ship Date' - Date on which the order is shipped.
• 'Ship Mode' - Mode of shipment of each order.
• 'Customer ID' - ID assigned to each customer who places an order.
• 'Customer Name' - Name of Customer.
• 'Segment' - Section from where the order is placed.
• 'Country' - Country details of this data set. We are looking only for US store data.
• 'City' - Cities of US are listed here.
• 'State' - States of US are listed here.
• 'Postal Code' - pin code
• 'Region' - grouped into region wise
• 'Product ID' - Product ID of each product
• 'Category' - Category to which each product belongs to.
• 'Sub-Category' - Sub-Category of each Category
• 'Product Name' - Name of products.
• 'Sales' - total selling Price of each product order.
• 'Quantity' - number of quantity available for a particular product order.
• 'Discount' - Discount available on each product order.
• 'Profit' - Profit gained on each product order.