Published
Edited
Jun 25, 2020
1 star
checkerboardChart = {
const svg = d3.create("svg")
.attr("title", "Unlabelled chart")
.attr("class", "chart")
.attr("viewBox", [0, 0, width, height]);
const defs = svg
.append("defs");
const checkboardSize = x.bandwidth() / width * 100;
// const checkboardSize = x.bandwidth() / 10;
// const checkboardSize = 5;
const checkboardPattern = defs.append("pattern")
.attr("id", "checkboard")
.attr("width", checkboardSize * 2)
.attr("height", checkboardSize * 2)
.attr("patternUnits","userSpaceOnUse")
.html(`<rect width="${checkboardSize}" height="${checkboardSize}" fill="${activeColor}" />
<rect x="${checkboardSize}" y="${checkboardSize}" width="${checkboardSize}" height="${checkboardSize}" fill="${activeColor}" />`)
svg.append("g")
.attr("class", "bars")
.selectAll("rect")
.data(data)
.join("rect")
.attr("role", "presentation")
.attr("class", "bar")
.attr("x", d => x(d.x))
.attr("y", d => y(d.y))
.attr("width", x.bandwidth())
.attr("height", d => y(0) - y(d.y))
.style("fill", "url(#checkboard)");
svg.append("g")
.attr("class", "chart-by")
.call(chartBy)
return svg.node();
}
x = d3.scaleBand()
.domain(data.map(d => d.x))
.range([margin.left, width - margin.right])
.padding(0.1);
y = d3.scaleLinear()
.domain([0, d3.max(data, d => d.y)]).nice()
.range([height - margin.bottom, margin.top]);
chartBy = g => g
.attr("transform", `translate(${width}, ${height})`)
.append("text")
.attr("id", "source")
.attr("x", 0)
.attr("y", 0)
.attr("dy", "-0.5em")
.attr("text-anchor", "end")
.text('@DiDoesDigital');
margin = ({top: 24, right: 0, bottom: 48, left: 0})
activeColor = "#534e7a"
d3 = require("d3@5", "d3-array@2.4")
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
