Public
Edited
Oct 18, 2023
width / height
chart = {
const marginTop = 20;
const marginRight = 30;
const marginBottom = 30;
const marginLeft = 40;
// const { brickWidth, brickHeight, gap, strokeWidth } = form;
const { gap, strokeWidth } = form;
const aspectRatio = width / height; // Assuming width and height are the desired aspect ratio of the final brick layout
const numCols = Math.sqrt(totalBricks * aspectRatio);
const numRows = totalBricks / numCols;
const brickWidth = width / numCols;
const brickHeight = height / numRows;
const svg = d3
.create("svg")
.attr("viewBox", [0, 0, width, height])
.attr("width", width)
.attr("height", height)
.attr("style", "max-width: 100%; height: auto;");
// Create a threshold scale
const colorScale = d3
.scaleThreshold()
.domain([0, 200, 400, 600]) // Specify the thresholds (index values)
.range(colorRange); // Specify the color range
// Loop through each row and column to draw bricks
const rc = rough.svg(svg.node());
// Color scale by index
// Loop through each row and column to draw bricks
for (let i = 0; i < numRows; i++) {
for (let j = 0; j < numCols; j++) {
// Alternate starting position for every other row for the brick effect
const xOffset = i % 2 === 0 ? brickWidth / 2 : 0;
// Adjust number of bricks for alternating rows to cover the entire width
if (i % 2 === 0 && j === numCols - 1) {
continue;
}
const node = rc.rectangle(
j * (brickWidth + gap) + xOffset,
i * (brickHeight + gap),
brickWidth,
brickHeight,
{
fill: colorScale(i * numCols + j),
roughness, // Adjust for a more or less hand-drawn look
hachureAngle: -41, // angle of hachure,
hachureGap,
strokeWidth,
strokeColor,
fillStyle,
fillWeight
}
);
svg.node().appendChild(node);
}
}
return svg.node();
}
// numCols = Math.ceil(width / form.brickWidth)
// numRows = Math.ceil(height / (form.brickHeight + form.gap));
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.