DatGUI Demo

100%

✓ Published0🌍 Public

Last edited May 16, 2021

Created on May 16, 2021

This example showcases dat.GUI, a lightweight JavaScript library for creating on-screen control panels that manipulate variables in real time. The code instantiates a GUI object and populates it with a variety of input types, including text fields, checkboxes, buttons, sliders with defined minimum, maximum, and step values, dropdown menus, and color pickers. It also demonstrates organizing controls into nested folders and using the `remember()` method to preserve state. No data visualization occurs; the demo focuses exclusively on the GUI's API and its handling of different parameter formats like CSS strings, RGB arrays, and HSV objects.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

Similar vizzes

Loading thumbnail…

Visual Editor Prototype

This example demonstrates a simple visual editor interface for configuring chart properties. It renders a control panel with a color picker and a range slider for adjusting bar color and border radius, respectively. The interface is built using React, with the App component mapping over a configuration array to generate labeled input controls. The layout uses flexbox and a dark background, with styling provided by a separate CSS file. The prototype does not yet include a live chart or data binding, focusing solely on the editor's UI structure.

CCurran Kelleher

66% match

Loading thumbnail…

Untitled

This example presents a bare minimum HTML page that demonstrates the integration of CSS and JavaScript for interactive visualization. The page uses a straightforward rendering approach, likely leveraging the Canvas API or DOM elements to display data-driven graphics. Built with React, the source code imports and manipulates data from the v3 dataset, structuring the visualization through component-based logic. The example serves as a foundational template, showcasing how JavaScript and web standards can combine to create dynamic, user-facing visual output without relying on external charting libraries.

NNJANGHU

65% match

Loading thumbnail…

Untitled

This example visualizes a grid of colorful cubes whose heights represent random negative values, rendered as an interactive 3D bar chart. Users can drag to rotate the entire scene, which triggers smooth transitions as the cube faces and numeric text labels update. The visualization uses the d3-3d plugin with d3.v4 to project cube vertices, while SVG paths and text elements render each face and height value. A button triggers regeneration of the data, and drag events control rotation angles through d3.drag.

KKishen Patel

64% match

Loading thumbnail…

grids

This visualization displays a grid-based layout with multiple colored panels, including a header bar, a slider-controlled range display, and a large SVG canvas. The interface uses Bootstrap’s grid system for responsive column and row structuring, while d3.v5 handles SVG sizing and element selection. A slider appears to adjust a numeric value shown in the adjacent label, with the main chart area left empty. The page uses a fixed full-viewport layout with distinct color-coded sections for headers, controls, and content areas.

AAnimesh Nautiyal

64% match

Loading thumbnail…

Untitled

This example demonstrates a minimal interactive data visualization built with React. It displays a simple dataset, rendered as a basic chart or plot, where users can explore the values. The visualization leverages React's state management and rendering capabilities to update the display dynamically. The core functionality is implemented using React's component system and standard JavaScript, with the chart's visual elements drawn directly in the browser. The code serves as a foundation for more complex React-based data visualization projects.

Ddleese1

64% match

Loading thumbnail…

Untitled

This example shows a basic HTML page that uses CSS and JavaScript to render a simple interactive visualization. The code uses React to structure the UI, with a bundled JavaScript file controlling the behavior. It demonstrates a minimal setup for building browser-based graphics, relying on standard web technologies rather than specialized charting libraries. The rendering approach is straightforward DOM manipulation, and the data source appears to be static or locally defined within the script. The page serves as a starting point for more complex React-based visualizations.

DDivyaVellanki

64% match

Loading thumbnail…

Untitled

This example shows a stylized dashboard layout in SVG, with minimal decorative elements like circular and oval shapes, small icons, and annotated lines drawn in grayscale tones. The visual centers on two large rounded rectangles that appear to frame data areas, flanked by bar-chart-like segments and small circular markers. The rendering uses React to produce static SVG markup, with no interactive or dynamic behavior. The included JavaScript and CSS files are referenced but not detailed, so the composition is purely presentational, illustrating a clean, grid-like interface design.

Ppreethamkesa

63% match

Loading thumbnail…

Rendering Data with React

This example shows how React and D3 work together to render a grid of color swatches, one for each named CSS color loaded from an MDN dataset. The React component manages the asynchronous data loading with the `useState` and `useEffect` hooks, fetching the CSV via D3’s `csv` method. Once loaded, each color is mapped to a div whose background color is set using the `RGB hex value` field from the dataset. The visualization relies on React’s declarative rendering rather than D3’s DOM manipulation, demonstrating a clean separation of data loading and UI presentation.

MMario Ibarra

63% match