Cell Matrix

Cell Matrix

A grid of 16 by 8 rounded rectangles displays a random pattern of purple and yellow cells, where each cell’s color is determined by a Boolean value from `Math.random()`. The React components `CellMatrix` and `Cell` position each rect using computed `x` and `y` offsets based on the inner dimensions, while the `VizContainer` renders the SVG output with configurable margins and a neutral gray background. This example uses plain React state-free rendering, with no D3 API calls beyond the library’s inclusion in the HTML page.

WWaseem Medhat

94% match

Circles Effect at the junctions

A grid-based visualization renders 960 small square cells across an SVG canvas, each colored with a random red-blue value to create a scattered circle-like effect at the junctions where cells meet. The code uses React 16.10 to generate the layout, mapping over arrays of coordinates to place every rectangle individually. The SVG elements are drawn with the `rect` API, and the fill color is computed dynamically using `rgb()` with a random multiplier. A larger square border outlines the overall composition, while the grid cells themselves use no stroke, producing a seamless visual pattern.

74% match

Trying Squares

A grid of fifteen colored rectangles renders a fixed dataset of five values repeated three times, with each rectangle’s width proportional to its value and its fill assigned a random RGB color via the custom `getRandomColor` function. The React component uses `d3.sum` to compute total width and `d3.selectAll` to append SVG `rect` elements, while the `FaceContainer` wrapper translates the group into the SVG canvas. D3 v7 and React 18 combine to generate the static layout without interaction.

Ddumbdataguy@gmail.com

73% match

matrix component

This example demonstrates an interactive 3x3 matrix component for exploring linear algebra concepts, where each cell displays a numeric value. Built with D3.js, it uses custom `d3.layout.matrix` and `d3.svg.matrix` components to render the grid. Users can scrub (drag) any number to adjust its value, and the colored background cells—mapped via a separate array—highlight corresponding entries across the matrix. The SVG rendering includes draggable text elements, with cell colors derived from a categorical scale and linked to shared mapping keys.

AAdriU82

73% match

Compact Squares with random Opacity

A grid of compact squares forms a large square, each cell filled with a radial gradient that creates a Saturn-like color blend. The visualization is generated entirely in React, rendering SVG rectangles in a nested loop with no spacing between them, and applies a drop-shadow filter for subtle depth. The opacity is noted in the code but remains commented out, so all squares render at full opacity. The layout is computed from fixed dimensions, with a 960-pixel side and 30-pixel cells, producing a 32-by-32 matrix.

Compact Squares with random Opacity

This visualization displays a 48×48 grid of compact squares, each filled with a semi-transparent grey tone that varies unpredictably. The squares are arranged in a dense block, with a single black outline enclosing the entire grid. Using React and ReactDOM, the code generates the grid by mapping over arrays of coordinates, assigning each rectangle a random opacity value and a reddish fill color computed from the square’s position. The SVG rendering uses the `<rect>` element with attributes for width, height, and stroke, while the `Math.random()` function controls both the opacity and the red channel variation.

Responsive Matrix Cells

This interactive visualization employs an adjacency matrix to explore football player statistics from a soccer dataset, with matrix rows and columns that can be sorted by structure, attributes, similarity, or name. Users can click on matrix cells to open responsive overlays—bar charts, parallel coordinate plots, or node-link diagrams—that visualize selected node and edge attributes via React and Canvas. The viewport and matrix support smooth spring-based animations for layout transitions, while similarity calculations and color scale selection adjust visual encodings dynamically.

Llili463e

Fork of Random square shapes with react July 4,2022 - 1

A grid of overlapping squares spirals outward from the center of the canvas, each square's size, stroke thickness, and color modulated by a simple algebraic sequence. The visualization uses React to define a custom SVG component, generating 190 squares with dynamically computed properties. D3.js selects the SVG canvas and appends a group for layout, while the React component maps an array of calculated values to render each square with a drop-shadow filter and randomized RGB stroke colors. The result is an abstract composition of layered geometric forms.