Gist e34cd865d66a6253975b29e04e98f28d

100%

Gist e34cd865d66a6253975b29e04e98f28d

✓ Published0🌍 Public

Last edited Aug 21, 2016

Created on Aug 21, 2016

This example demonstrates a workaround for an Internet Explorer update bug that caused D3.js visualizations to render incorrectly. The code shows a conditional check for an input component, and if it exists, it calls the `context.update` method with the component's name and `inputNode.value`. This approach ensures the visualization properly refreshes its state after the browser’s rendering engine processes updates, preventing stale or broken displays. The snippet relies on D3.js’s internal context API to manage dynamic data binding within an interactive graphic.

AI-generated description

Similar vizzes

Loading thumbnail…

Interactive General Update Pattern

This interactive visualization demonstrates the general update pattern in D3 v4 by stepping through the code line-by-line using arrow key navigation. It shows how D3 selects existing elements with selectAll, binds data with a key function, and manages enter and exit selections when appending or removing circles. Two side-by-side panels display the executing code and a live SVG visualization, with a step-description box explaining each line. The example uses D3’s selection API to update circle styles, showing how the update selection is merged before applying animations.

TThanaporn-sk

66% match

Loading thumbnail…

Gist 154614

This example demonstrates how to build a dynamic, animated data visualization using the Firebug debugger service. The code, written in JavaScript, initializes components through the XPCOM interface and uses the jsdIDebuggerService to interact with JavaScript execution. It processes source code by matching patterns with regular expressions to identify functions and URLs. The visualization uses an animation rendering approach, driven by the underlying Firebug runtime environment, to explore and display code structures in a dynamic way. The data source is the JavaScript files being analyzed for function names and location details.

CCaged

65% match

Loading thumbnail…

Gist e6f198ff61f5d2d9ec3a540a0ac3b9ca

This example demonstrates a minimal D3.js v5 application that uses the `d3.select` method to target an HTML element with the ID `hello` and replace its text content with "Hello World!!". The code imports D3 as a module from a bundled file path (`/-/d3@5.9.2.bundle.js`), which is configured via an Airdrop setup for dependency management. The rendering approach is simple DOM manipulation, not a data-driven visualization, as no scales, shapes, or data bindings are present. The example serves as a basic integration test for loading D3 in a module-based project.

HHypercubed

64% match

Loading thumbnail…

Gist 8b0b98e2a3e4a0c32263ad0790c632d6

This example shows an interactive neumorphism-inspired control panel rendered in the browser. It uses D3.js to drive a force-directed network layout of soft, extruded UI elements, with each node and edge drawn as a separate SVG path. The code relies on D3’s `forceSimulation` for physics-based positioning and `transition.attrTween` for smooth color and shape morphing. The rendering approach is CSS-driven, leveraging box-shadow and background gradients to simulate the neumorphic raised and inset effects. The design is based on the neumorphism.io style guide, with the source data being a static JSON of element definitions.

MMistyBlunch

63% match

Loading thumbnail…

Gist 7f9c8a8f711748856e574b550d7f3751

A small React application renders a force-directed graph of interconnected nodes and edges. The visualization uses `d3.forceSimulation` to compute node positions and link forces, while the `ReactDOM.render` call mounts the component onto a DOM element. The graph displays circles for data points and lines for connections, with the simulation running continuously to update positions dynamically. The code relies on React’s component-based structure to manage the SVG elements and update them on each simulation tick.

TTheComfyChair

63% match

Loading thumbnail…

Hello React + D3!

This example demonstrates a reusable React component that integrates with D3 to render animated SVG graphics. Dynamic data updates every second, repositioning circles while diagonal lines are redrawn to follow the resizing viewport. The code uses D3 v4 transitions for smooth attribute changes, React's lifecycle methods (`componentDidMount`, `componentWillUnmount`) for setup and cleanup, and a `setInterval` to update the visualization. It also responds to window resizing and keyboard input to toggle the graphic's visibility.

CCurran Kelleher

62% match

Loading thumbnail…

Gist e899f735aa7a47c42f7b2604c713bfef

This example visualizes a force-directed graph using D3’s `d3.forceSimulation` to position nodes, with links drawn as SVG lines. The rendering approach uses Canvas `getImageData` to sample pixel data for a custom background effect, while Three.js handles 3D-like sphere rendering for node highlights. The code reads node and edge data from an embedded JavaScript object, and the simulation runs continuously with a `tick` handler updating node positions. A dropdown menu lets users filter the graph by cluster, though the filtering logic only updates node visibility without altering the underlying simulation forces.

AAlexDaGr8

62% match

Loading thumbnail…

Update d3.js data with button press

This example demonstrates how to update a line graph by pressing an "Update" button. It uses D3.js version 3.5.17 to render an SVG line chart of date and closing value pairs. The interaction is handled by an HTML `onclick` event that triggers the `updateData()` function, which re-fetches a different CSV file (`data-alt.csv`). The axes and line path are then updated with a smooth 750-millisecond transition, showing how to dynamically replace the dataset and rescale the visualization.

Dd3noob

62% match