Big Mart Sales Analysis

• This project is having big mart sales data.
• In this project, I have fired some queries to do some data manipulation tasks.
• By using SQL, We can efficiently manage and manipulate data, enabling them to gain insights and make data-driven decisions.

Data Description:

• Item_Identifier : Unique product ID
• Item_Weight : Weight of product
• Item_Fat_Content : Whether the product is low fat or not
• Item_Visibility : The % of total display area of all products in a store allocated to the particular product
• Item_Type : The category to which the product belongs
• Item_MRP : Maximum Retail Price (list price) of the product
• Outlet_Identifier : Unique store ID
• Outlet_Establishment_Year : The year in which store was established
• Outlet_Size : The size of the store in terms of ground area covered
• Outlet_Location_Type : The type of city in which the store is located
• Outlet_Type : Whether the outlet is just a grocery store or some sort of supermarket
• Item_Outlet_Sales : Sales of the product in the particulat store. This is the outcome variable to be predicted.