Real-Time Sales Dashboard

Visit the blog here! => 🔗 Advanced Data Visualization Techniques with D3.js and Plotly

This DevToys.io blog tutorial project demonstrates how to create a real-time sales dashboard using D3.js and Plotly in a Node.js environment. The dashboard displays sales data that updates in real-time, leveraging both D3.js for intricate custom visualizations and Plotly for high-level, interactive charts.

Project Overview

The real-time sales dashboard displays sales data that updates every two seconds. The project includes:

• A bar chart using D3.js with legends.
• A line chart using Plotly.

Prerequisites

Ensure you have the following installed:

• Node.js (which includes npm)

Setup

1. Clone the repository:

   git clone https://github.com/your-username/real-time-sales-dashboard.git
   cd real-time-sales-dashboard

2. Install dependencies:

   npm install

3. Project Structure:

   real-time-sales-dashboard/
   ├── public/
   │   ├── index.html
   │   ├── dashboard.js
   │   ├── d3.v6.min.js
   │   ├── plotly-latest.min.js
   │   └── styles.css
   ├── server.js
   └── package.json
   

Running the Project

1. Start the server:

   node server.js

2. Open your browser and navigate to:

   http://localhost:4000
   

File Descriptions

server.js

Sets up the Express server and Socket.IO for real-time updates.

public/index.html

Contains the HTML structure and includes the necessary scripts for D3.js and Plotly.

public/dashboard.js

Handles the client-side logic for rendering the charts and updating them in real-time.

public/d3.v6.min.js

Minified version of D3.js library.

public/plotly-latest.min.js

Minified version of Plotly library.

public/styles.css

Styles the dashboard and the charts for better visual appeal.

Customization

D3.js Bar Chart

The D3.js bar chart includes legends and transitions for better visualization. You can customize the colors, transition durations, and other properties in the dashboard.js file.

Plotly Line Chart

The Plotly line chart displays real-time sales data. You can customize the chart layout and styles in the dashboard.js file.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgements

• D3.js
• Plotly
• Node.js
• Express
• Socket.IO