Interactive Data Visualization with Svelte and D3

Table of Contents

• Installation
• Running the Project
• Dependencies
• Charts

Installation

To run this project locally, follow these steps:

1. Clone the repository to your local machine:

      git clone https://github.com/your-username/data-visualisation-svelte-d3.git

2. Change to the project directory:

      cd data-visualisation-svelte-d3

3. Install the project dependencies:

      npm install

Running the Project

After successfully installing the dependencies, you can run the project with the following commands:

• Start the development server:

     npm run dev

  This will launch the project in development mode, and you can access it in your browser at http://localhost:3000.

• Build the project for production:

     npm run build

  This command will generate optimized production-ready files in the dist folder.

• Preview the production build:

     npm run preview

  Use this command to preview the production build locally before deploying it.

Dependencies

This project relies on several dependencies to create interactive data visualizations:

• Svelte: A JavaScript framework for building user interfaces.
• Vite: A fast development build tool.
• D3.js: A powerful library for creating data-driven visualizations.
• Lodash: A utility library for handling data transformations.
• TopoJSON: A format for encoding geographic data.
• Versor: A library for 3D vector math.

Available Charts

The project includes various interactive charts:

1. Bar Chart: Displays a simple bar chart without interactivity or animation.
2. Interactive Bar Chart: On bars hover interactively shows value and changing color of the bar.
3. Animated Bar Chart: Features animated transitions in the bar chart.
4. Bubble Chart: Creates an interactive data visualization that displays circles on a chart based on income, life expectancy, and population data for different countries over time.
5. US Map: Shows a map of the United States with data visualization.
6. World Globe: Presents an interactive 3D globe for global data exploration.

You can switch between these charts using the navigation menu in the application. Each chart provides a unique data visualization experience.