📊 Retail Sales Data Analysis Dashboard

Project Overview

This project showcases a comprehensive data analysis pipeline using Power BI, Power Query, Python, and SQL to explore and visualize retail sales performance. The dashboard provides key insights into revenue trends, customer behavior, product categories, and payment methods across multiple regions.

Tools & Technologies

• Power BI: For interactive data visualization and dashboard creation
• Power Query: For data transformation and cleaning
• Python: For advanced analytics and preprocessing
• SQL: For querying and managing relational data

Key Features

• Dynamic KPIs including Total Revenue, Customer Count, and Average Order Value
• Visual breakdowns by Year, Country, Category, and Payment Method
• Clean, responsive layout for intuitive data exploration

Getting Started

To explore the dashboard:

1. Clone this repository
2. Open the .pbix file in Power BI Desktop
3. Connect to your data source or use the sample dataset provided

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