Web developer and autodidact with an interest in creative coding.
Public
Edited
Mar 16
Paused
1 star
Plot.plot({axis: false, height: 200, padding: 0, margin: 1, marks: [
// Highlight each column on hover
Plot.barY("ABCD", Plot.pointerX({x: d => d, fill: "orange", maxRadius: Infinity})),
Plot.frame(),
Plot.dotX("ABCD", {r: 50, fill: d => d, href: d => `#${d}`, target: "_top"}),
Plot.text("ABCD", {x: d => d, fill: "white", fontSize: 50, pointerEvents: "none"})
]})
Plot.plot({axis: false, height: 200, padding: 0, margin: 1, marks: [
// Highlight each column on hover
Plot.barY("ABCD", Plot.pointerX({x: d => d, fill: "orange", maxRadius: Infinity})),
Plot.frame(),
groupMarks([
Plot.dotX("ABCD", {r: 50, fill: d => d, href: d => `#${d}`, target: "_top"}),
Plot.text("ABCD", {x: d => d, fill: "white", fontSize: 50, pointerEvents: "none"}),
], {
// Prevent clicks on linked elements from pinning the pointerX selection above.
onpointerdown: e => e.stopPropagation(),
// Some additional attributes for show
stroke: "black",
"stroke-width": "6px",
"stroke-dasharray": "7, 7",
"stroke-linecap": "round",
"paint-order": "stroke",
})
]})
function groupMarks(marks, props = {}) {
const createElement = ({document: d, ownerSVGElement: o}, localName) => d.createElementNS(o.namespaceURI, localName);
// See https://github.com/observablehq/plot/blob/v0.6.17/src/plot.js#L383-L394
const markify = m => m.render ? m : Object.assign(new Plot.Mark(), {render: m});
const setProps = (el, props) => {
for(const [k, v] of Object.entries(props)) typeof v === "function" ? el[k] = v : el.setAttribute(k, v);
return el;
};
let g;
const renderGroup = (i, s, v, d, c) => g = setProps(createElement(c, "g"), props);
const patch = m => {
const render = m.render;
return Object.assign(m, {render(...args) { g.append(render.apply(this, args)) }});
};
return [renderGroup, ...marks.flat().map(markify).map(patch)];
}
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.