I'm a professor of mathematics at the University of North Carolina Asheville. I've also done a fair amount of consulting work over the years focusing on scientific and data visualization.
I'm happy to be part of the first Observable Ambassador's cohort.
chart
viewof chart = {
const svg = d3
.create("svg")
.attr("viewBox", [0, 0, width, height])
.attr("stroke-width", 2);
let circles = d3.range(1).map((i) => ({
//overkill for this example but maintains Bostock's code
x: Math.random() * (width - radius * 2) + radius,
y: Math.random() * (height - radius * 2) + radius
}));
function dragstarted(event, d) {
d3.select(this).raise().attr("stroke", "black");
}
function dragged(event, d) {
svg.node().value = [{ x: event.x, y: event.y }];
svg.node().dispatchEvent(new CustomEvent("input"));
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);
}
let drag = d3
.drag()
.on("start", dragstarted)
.on("drag", dragged)
.on("end", dragended);
svg
.selectAll("circle")
.data(circles)
.join("circle")
.attr("cx", (d) => d.x)
.attr("cy", (d) => d.y)
.attr("r", radius)
.attr("fill", (d, i) => d3.schemeCategory10[i % 10])
.call(drag);
svg.node().value = circles;
return svg.node();
}
height = 600
radius = 32
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.
