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β This project aims to analyze the sales performance of a coffee shop using SQL for data extraction and Power BI for visualization. The analysis focuses on understanding π sales trends, π order patterns, and π¦ quantity sold over time, along with specific insights into π store locations, ποΈ product categories, and π day-wise performance.
Explore pizza sales trends via SQL analysis and dynamic Power BI dashboards. Discover daily/monthly insights, category-based sales, and top-selling pizzas by revenue and quantity.