chart = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height])
.attr("stroke-width", 0);
const circles = d3.range(2).map(i => ({
x: Math.random() * (width - radius * 2) + radius,
y: Math.random() * (height - radius * 2) + radius,
r: [size1,size2]
}));
svg.selectAll("circle")
.data(circles)
.attr("id","circle1")
.join("circle")
.attr("cx", d => d.x)
.attr("cy", d => d.y)
.attr("r", (d,i) => d.r[i])
.attr('fill-opacity', 0.2)
.attr("fill", (d, i) => d3.schemeCategory10[i % 10])
.call(drag);
return svg.node();
}
viewof size1 = Inputs.range([0, 100], {step: 1, label: "Circle Size 1"})
viewof size2 = Inputs.range([0, 100], {step: 1, label: "Circle Size 1"})
size1
svg.selectAll("circle").node().getBBox()
drag = {
function dragstarted(event, d) {
d3.select(this).raise().attr("stroke", "black");
}
function dragged(event, d) {
d3.select(this).attr("cx", d.x = event.x).attr("cy", d.y = event.y);
}
function dragended(event, d) {
d3.select(this).attr("stroke", null);
}
return d3.drag()
.on("start", dragstarted)
.on("drag", dragged)
.on("end", dragended);
}
height = 600
radius = 32
d3 = require("d3@6")
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.
