Sales Dashboard README

Overview

This repository contains a Dash web application for visualizing sales and profit data based on a provided dataset. The application leverages Plotly Express for creating interactive visualizations and Dash for building the web interface. Users can explore sales and profit trends over different years, view state-wise performance, and analyze sales and profit by category.

Installation

1. Clone the repository:

   git clone https://github.com/Saf2004/sales-dashboard.git

2. Navigate to the project directory:

   cd sales-dashboard

3. Install the required dependencies:

   pip install -r requirements.txt

Usage

1. Ensure you have Python installed on your machine.

2. Run the Dash web application:

   python sales_dashboard.py

3. Open a web browser and go to http://127.0.0.1:8051/ to access the Sales Dashboard.

4. Interact with the dropdowns and sliders to explore different visualizations based on sales and profit data.

Code Structure

• sales_dashboard.py: The main script containing the Dash application and visualization functions.
• orders.csv: The dataset used for sales and profit analysis.
• requirements.txt: List of Python packages required for the project.

Visualizations

1. Sales by State

• Select 'Sales by State' from the dropdown menu.
• Use the slider to choose the desired year.
• View a choropleth map showing sales data for each state.

2. Profit by State

• Select 'Profit by State' from the dropdown menu.
• Use the slider to choose the desired year.
• View a choropleth map showing profit data for each state.

3. Sales and Profit Trends

• Choose between 'Sales' and 'Profit' from the dropdown menu.
• Use the slider to select the desired year.
• Explore line charts depicting quarterly sales and profit trends by category.

Dependencies

• pandas
• plotly
• dash
• numpy

License

This Project is unlicensed