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This project is an Excel-based dashboard for analyzing restaurant sales data. It provides insights into customer behavior, item performance, and transaction trends. The dashboard highlights Key Performance Indicators (KPIs) and multiple visualizations to support data-driven decision-making.

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Muhammed-Shamsuddin/A-Restaurant-Sales-dashboard

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πŸ“Š Restaurant Sales Dashboard

πŸ“Œ Overview

This project is an Excel-based restaurant sales analysis and dashboard.
It provides a detailed look into sales performance, customer behavior, and time-based trends, helping to identify opportunities for growth and improvement.


Features

βœ… KPIs (Key Performance Indicators)

  • Total Sales
  • Total Quantity Sold
  • Total Orders
  • Average Sale per Order

βœ… Visualizations

  • Sales Count by Product – find best-selling items
  • Average Sales per Customer by Time – spending behavior during the day
  • Monthly Sales – track revenue growth month over month
  • Sales Trend – overall sales patterns
  • Peak Selling Time – busiest hours of the day
  • Sales by Day – weekday vs weekend patterns
  • Sales by Gender – compare spending by customer gender
  • Sales by Transaction Type – cash vs card

πŸ“‚ Files in this Repository

  • restaurant-dashboard.xlsx β†’ Main Excel workbook with analysis and dashboard
  • data.csv β†’ Cleaned dataset (optional for preview)
  • screenshot.png β†’ Dashboard screenshot (replace with your actual file name)

πŸ“Š Key Insights

  • Identified top-selling products that drive the most revenue.
  • Found the peak selling hours and busiest days.
  • Compared sales by gender and transaction type.
  • Highlighted monthly sales trends to detect growth and seasonal patterns.

✨ Author

Muhammed Shamsuddin
GitHub Profile(https://github.com/Muhammed-Shamsuddin)

About

This project is an Excel-based dashboard for analyzing restaurant sales data. It provides insights into customer behavior, item performance, and transaction trends. The dashboard highlights Key Performance Indicators (KPIs) and multiple visualizations to support data-driven decision-making.

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