Analysing Sales Dataset

This dataset is about an electronics store's purchases in 2019.

it contains:

• Order ID (The order unique id)
• Product (The product purchased)
• Quantity Ordered (The product quantity)
• Price Each (Price for each item)
• Order Date (The order date)
• Purchase Address (The address of the order)

In this project, I will answer the following questions:

• What month has the largest sales
• What day has the most sales
• What weekday has the most orders
• What Price Range do people tend to buy more
• Which State, City, and Product has the most orders
• What is the most and the least profitable product
• What are the most common products sold together