InfoVis Master Task - Brain Prints

InfoVis Master Task - Brain Prints

This visualization renders a top-down SVG view of a brain, with a single dark path outlining its folds and contours. The path data appears to be a sequence of coordinates and Bezier curve commands, which are scaled and transformed to fit the canvas. Built with D3 v5, the app draws this static image entirely through SVG path elements, with no interactive behavior or animation. The style is minimal, using a black stroke on a white background to highlight the brain’s structure under the "Brain Prints" title.

InfoVis Master Task - Brain Prints

InfoVis Master Task - Brain Prints

This example visualizes a human brain as a static side-view SVG line drawing, with the outline rendered in black on a plain background. The visualization uses D3.js v5 to manipulate and display the pre-defined SVG path data embedded directly in the index.html file. The brain shape is structured as a single large path element, scaled and positioned using SVG group transforms. The page includes basic CSS styling to center the title and constrain the SVG display width, demonstrating a straightforward approach to rendering complex anatomical line art without interactive or dynamic data operations.

InfoVis Master Task - Brain Prints

This visualization shows a static side-view silhouette of a human brain, rendered as a dense, black vector path on an SVG canvas. The path data is drawn from a hardcoded geometry that outlines the brain’s complex folds and contours. The code uses D3.js v5 to insert the SVG element, while the `viewBox` and `preserveAspectRatio` attributes handle responsive scaling. Styling is applied via an external CSS file that centers the title and constrains the SVG width.

Fork of InfoVis Master Task - Brain Prints

A static SVG renders a single brain silhouette based on an embedded path dataset. The example uses D3 v5 to select and style the SVG elements, applying a fixed viewBox and geometric transform to scale the path data. No interactive forces, transitions, or data binding are present; the visualization simply displays the preprocessed brain print shape.

HHariprashanth75

85% match

Data Visualization

This visualization presents a custom SVG drawing of two stylized human figures, composed of black outlined paths, white lines, and colorful ellipses representing facial features and body shapes. The figures are set against a light gray background, with a design that uses a darken blend mode and background blur filters on the paths. The SVG is generated within an HTML page that uses D3.js to load a Netflix dataset from a GitHub gist, displaying the data's size in kilobytes, row count, and column count. The page also includes a separate decorative SVG with colorful shapes and lines.

Hharika-1929

69% match

D3.js Starter

This interactive React visualization renders a stylized face using SVG primitives. A radial gradient defines the head's golden shading, while D3.js v5's `line()` and `curveCardinal()` functions from the `d3-shape` component construct the eye shapes. The custom `eyeGeneratorCurve()` function coordinates curve paths based on calculated distances between points. Each eye is drawn as a closed path with filled white interiors and black strokes, positioned within a translated group. The application manages state and rendering through React's component system, with the SVG canvas sized at 400 by 400 pixels.

VVikil Lakkavatri

67% match