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This project is a Power BI dashboard designed to analyze pizza sales data over the course of a year. It provides insights into total revenue, order trends, busiest days, and pizza category performance. This dashboard helps stakeholders understand key performance metrics and make data-driven decisions.
- Total Revenue and Orders: Displays total revenue, total pizzas sold, total orders, and average order value.
- Order Trends:
- Daily Trend for Total Orders: Visualizes the average number of orders on each day of the week.
- Monthly Trend for Total Orders: Shows monthly order trends to identify peak sales periods.
- Sales Performance:
- Busiest Days & Times: Highlights peak order days (weekends, especially Friday and Saturday) and peak months (July and January).
- Category & Size Analysis: Displays the percentage of sales by pizza category and size, with Classic and Large pizzas contributing to maximum sales.
- Total Pizzas Sold by Category: A bar chart showing total pizzas sold by category (Classic, Supreme, Veggie, Chicken).
To view and interact with this dashboard, you'll need:
- Microsoft Power BI: Download here
- Pizza Sales Dataset: (Add link to dataset if available)
- Open the Power BI file.
- Use the filter options to drill down into specific pizza categories or date ranges.
- Explore various visualizations to gain insights into pizza sales trends.
- Peak Sales Periods: The dashboard reveals that weekends (Friday and Saturday) and the months of July and January are the busiest times for pizza orders.
- Popular Pizza Categories: The Classic category contributes the most to total sales, followed closely by the Supreme category.
- Size Preferences: Large pizzas account for the highest percentage of sales, indicating a preference for larger sizes among customers.
This project is licensed under the MIT License. See the LICENSE file for details.
- Data sourced from (Specify data source if available).
- Dashboard created using Microsoft Power BI.
For any inquiries, feel free to contact me at (Your Email).
Feel free to modify the content as needed.