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Fork of Editing Faux Data Viz

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NNita
Last edited Aug 5, 2025
Created on Aug 5, 2025

This dashboard presents seven colored trend lines on a Cartesian grid, with hover states that highlight each path and display a tooltip. D3.js v7 drives the interactions, including animated entrance transitions for data points placed along each path, a glow filter on hover, and buttons that trigger path opacity pulses and toggle grid visibility. The SVG rendering includes axis labels and a legend for trend identification.

AI-generated description

Awesome SVG Data Visualization

This project transforms a basic SVG into an interactive, animated data visualization dashboard using D3.js.

Features

  • Interactive Paths: Hover over trend lines to see details and highlighting effects
  • Animated Data Points: Circles placed along paths with smooth entrance animations
  • Dynamic Controls: Buttons to animate, reset, and toggle grid visibility
  • Modern UI Design: Gradient background, glass-morphism container, and glowing effects
  • Responsive Layout: Adapts to different screen sizes
  • Visual Legend: Color-coded legend for easy trend identification
  • Tooltip System: Detailed information on hover

How to Use

  1. Open index.html in a web browser
  2. Hover over any colored path to see trend details
  3. Click "Animate Data" to see a pulsing animation effect
  4. Click "Reset View" to return to the original state
  5. Click "Toggle Grid" to show/hide the background grid

Technologies

  • HTML5
  • CSS3 (with modern effects like gradients and shadows)
  • SVG (Scalable Vector Graphics)
  • D3.js v7 (Data-Driven Documents)

Customization

You can easily modify the data, colors, and animations by editing the script.js file. The visualization uses D3's data joins for optimal performance and is designed to be extensible.

License

MIT

MIT Licensed

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