Smile face

Smileface

Smileface displays a grid of 18 randomly generated cartoon faces, each composed of a yellow circle with black outlines, two eyes, and an arc-shaped mouth. The example uses React to define reusable components—BackgroundCircle, Eyes, Mouth, and FaceContainer—which are composed within a Face component. The d3 library provides the `arc` function for generating mouth paths and the `range` utility for creating the grid. Each face’s dimensions are randomized per render, seeded by the array’s length, and the SVG output is scaled to fit a 166-by-166-pixel viewport.

RRoberto

Smiley Face w/ React

A grid of 18 randomly generated smiley faces demonstrates how React components can be composed with D3-generated SVG paths. Each face uses reusable React components for the face, eyes, mouth, and teeth, with randomized properties like eye radius, mouth width, and teeth position. The mouth is drawn using `d3.arc()` to create a variable-width smile path, while all other shapes are plain SVG elements. The example combines React's component model with D3's arc generator to produce varied, data-driven visual output.

SSatyam Sundaram

Smiley Faces

A grid of randomly generated smiley faces, each with a yellow circular head, black outlined stroke, two eyes, and an arc-shaped mouth, demonstrates the reuse of a modular face component. Using React to compose SVG elements, the code leverages D3's `arc` generator to define the mouth path, while `d3.range` creates a 6-by-3 array of faces. Each face varies its stroke width, eye offset and radius, and mouth dimensions through randomized parameters passed as props, showing how declarative components can produce varied visual output.

Aabreeson

Smiley Face

A grid of randomized smiley faces appears, each rendered as a yellow circle with black outline, two eyes, and an arc-shaped mouth. The faces are generated using React components that compose SVG elements, with D3’s `arc` function calculating the mouth path. Random values for stroke width, eye offset, eye radius, and mouth dimensions create variation across the 18-face layout. The example demonstrates reusable React components and D3 integration for declarative SVG generation.

YYibo Zhang

Smiley Face Exercise

A grid of randomly generated smiley faces demonstrates how React components and D3’s arc generator combine to build reusable SVG visuals. Each face is composed of modular React elements—background circle, eyes, and mouth—with randomized props for stroke width, eye offsets, eye radius, mouth width, and mouth radius. The `range` function from D3 creates 18 faces, and `d3.arc` computes the smile path. Rendering uses ReactDOM’s `render` into a single SVG container, with all shapes drawn as SVG elements.

LLeah Mitchell

Smiley Face

A grid of randomly generated smiley faces is rendered, each with a yellow circular background, black eyes, and a curved mouth formed by a D3 arc. Built with React and D3 version 7, the example creates multiple face instances using the `range` function and maps them to `Face` components, translating each into an SVG group. D3’s `arc()` API defines the mouth path, while `Math.random()` varies stroke width, eye size, and mouth dimensions across faces.

TTRANDONGXYZ

Rrathan.ramesh00@gmail.com

Smiley Face

A grid of eighteen randomly generated smiley faces, each rendered as an SVG, demonstrates component reusability through React props. The faces vary in stroke width, eye offset, eye radius, mouth width, and mouth radius. The visualization uses D3 v7's `arc` generator to create the mouth path, while React components `FaceContainer`, `BackgroundCircle`, `Eyes`, and `Mouth` compose the face. Each face is drawn with a yellow circle, black stroke, two eyes, and a curved mouth, using `Math.random()` to assign individual facial features.

Smiley Face

A grid of randomized smiley faces fills the screen, each face built from a yellow circle, two eyes, and a curved mouth. The React components render SVG elements, while the d3 `arc` generator creates the mouth path. The `range` function from d3 generates the face count, and each face receives random properties for stroke width, eye offset, eye radius, and mouth dimensions.

CCarlos