This SQL-based Walmart data analysis project aims to identify top-performing branches and products, optimize sales strategies using Kaggle's Walmart Sales ...

Historical sales data for 45 Walmart stores located in different regions are available. There are certain events and holidays which impact sales on each day ...

28 янв. 2024 г. · We are going to explore Walmart Sales data to understand top-performing branches and products, sales trends of different products, and customer behavior.

This paper explores the performance of a subset of Walmart stores and forecasts fu- ture weekly sales for these stores based on several models including linear ...

8 сент. 2023 г. · The goal of this project is to examine Walmart Sales data in order to comprehend top-performing branches and items, sales trends for various products, and ...

Walmart Store Sales Prediction - Regression Problem.

11 окт. 2024 г. · Walmart observed a significant 10% to 15% increase in online sales for $1 billion in incremental revenue. Big data analysts were able to ...

In this paper, we analysed the data sets of world's largest retailers, Walmart Store to determine the business drivers and predict which departments are ...

20 сент. 2024 г. · This rich dataset enables comprehensive analysis of sales dynamics, customer behavior, and product performance across different branches and periods.

The data includes historical sales figures, promotional activities, and store-specific information for a period of several years. The analysis involves ...