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Excel-Dashboard

An interactive Sales Dashboard built in Microsoft Excel using the Super Store dataset. It transforms raw sales data into meaningful business insights through Pivot Tables, Pivot Charts, KPI Cards, and Slicers. The dashboard provides dynamic analysis of sales, transactions, regions, categories, shipping modes, and customer segments.

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🚀 Project Overview

This project is an interactive Sales Dashboard developed using Microsoft Excel. It transforms raw Superstore sales data into meaningful business insights through Pivot Tables, Pivot Charts, KPI Cards, Slicers, and interactive visualizations. The dashboard enables users to monitor sales performance, analyze customer behavior, and identify business trends effectively.


✨ Key Features

  • Interactive Region and Year Filters
  • KPI Cards for Sales, Transactions, Average Sales & Quantity
  • Monthly Sales Trend Analysis
  • Region-wise Sales Distribution
  • Category-wise Sales Analysis
  • Ship Mode Analysis
  • Consumer Segment Analysis
  • Top 5 Cities by Sales
  • Clean and Interactive Dashboard Design

🛠️ Technologies Used

  • Microsoft Excel
  • Pivot Tables
  • Pivot Charts
  • Slicers
  • Conditional Formatting
  • Data Cleaning
  • Dashboard Design

📊 Dataset

The project uses the Superstore Sales Dataset containing:

  • Customer Information
  • Order Details
  • Product Categories
  • Sales
  • Profit
  • Quantity
  • Shipping Mode
  • Region
  • Order Date

📂 Project Structure

Images/
Dashboard.xlsx
Superstore Data.xlsx
README.md

💡 Skills Demonstrated

  • Data Cleaning
  • Data Analysis
  • Dashboard Development
  • Business Intelligence
  • Data Visualization
  • KPI Reporting
  • Interactive Reporting
  • Microsoft Excel

👨‍💻 Author

Mayur Rajput

B.Pharm + MBA (Integrated) Student | NMIMS

Passionate about Data Analytics, Business Intelligence, Excel Automation, Power BI, and VBA.

⭐ If you found this project useful, don't forget to star the repository.

About

An interactive Sales Dashboard built in Microsoft Excel using the Super Store dataset. It transforms raw sales data into meaningful business insights through Pivot Tables, Pivot Charts, KPI Cards, and Slicers. The dashboard provides dynamic analysis of sales, transactions, regions, categories, shipping modes, and customer segments.

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