📊 Sales Business Dashboard

Author: Rana Usama
Project: Project 4 – Sales Dashboard
Purpose: Interactive business dashboard to visualize sales trends, top products, and key metrics from a dataset.

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🚀 Overview

This project demonstrates a real-world interactive dashboard built using Python Dash and Plotly. It allows users to:

• Filter sales data by Year, Product Line, and Country
• View Monthly Sales Trends
• Identify Top 10 Products by Sales
• Analyze Sales by Deal Size
• Monitor Key Metrics: Total Sales, Average Order Value, and Maximum Single Sale

The dashboard is fully interactive, suitable for business analysis or portfolio demonstration.

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🛠 Technologies & Libraries

• Python 3.x
• Pandas – Data processing and cleaning
• Dash – Web dashboard framework
• Plotly Express – Interactive charts
• PythonAnywhere – Deployment (optional)

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⚙️ Features

1. Filters

   • Year
   • Product Line
   • Country

2. Dynamic Graphs

   • Monthly Sales Trend
   • Top 10 Products by Sales
   • Sales by Deal Size

3. Key Metrics

   • Total Sales
   • Average Order Value
   • Maximum Single Sale

4. Deployment

   • Live on PythonAnywhere at /dashboard/ (if deployed)

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📷 Screenshots

Dashboard Homepage:

Monthly Sales Trend:

Monthly Sales Trend

Top 10 Products by Sales:

Replace the URLs above with actual screenshots from your dashboard.

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💻 How to Run Locally

1. Clone the repository:

git clone https://github.com/YourUsername/sales-dashboard-dash-python.git

2. Install dependencies:

pip install -r requirements.txt

3. Run the Dash app:

python dashboard.py

4. Open your browser at:

http://127.0.0.1:8050

📝 Author

Rana Usama – Data Science Enthusiast & Python Developer GitHub LinkedIn