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Hello, protovis!
pv = FileAttachment("protovis.js")
.text()
.then(d => eval(`(function() { ${d}; return pv; })()`))
{
new pv.Panel()
.width(150)
.height(150)
.anchor("center")
.add(pv.Label)
.text("Hello, protovis!")
.root.render();
return last();
}
{
/* Sizing and spacing parameters. */
var h = 20,
ch = 24,
cw = 11;
/* Bertin's order, grouping metrics by seasonal pattern. */
var order = [18, 17, 19, 7, 10, 3, 11, 12, 15, 13, 0, 1, 6, 8, 9, 16, 5, 2, 4, 14];
/* Compute the mean per metric. */
var type = pv.nest(hotel).key(d => d.type),
means = type.rollup(values => pv.mean(values, d => d.count));
/* The root panel. */
var vis = new pv.Panel().width(520).height(520);
/* A panel per series, with a bar chart and label. */
vis
.add(pv.Panel)
.data(pv.permute(type.entries(), order))
.top(function() {
return ch * (this.index + 1);
})
.height(h)
.add(pv.Label)
.font("13px Georgia")
.left(cw * 24 + 8)
.bottom(0)
.text((x, d) => d.key)
.add(pv.Bar)
.def("y", d => pv.Scale.linear(0, pv.max(d.values, d => d.count)))
.data(d => pv.repeat(d.values))
.left(function() {
return cw * this.index;
})
.bottom(0)
.width(cw)
.height(function(d) {
return this.y()(d.count) * h;
})
.strokeStyle("#000")
.lineWidth(1)
.antialias(false)
.fillStyle(d => (d.count > means[d.type] ? "#000" : null));
/* Month labels. */
vis
.add(pv.Label)
.data(pv.repeat("JFMAMJJASOND".split("")))
.top(function() {
return this.index % 6 > 2 ? 16 : 14;
})
.left(function() {
return cw * (this.index + .5);
})
.textAlign("center")
.font("bold 15px Arial");
vis.render();
return last();
}
// protovis attaches an SVG element to the DOM. Find and return it.
// (not foolproof but good enough for a vintage notebook)
function last() {
return html`${[...document.body.querySelectorAll("svg")].pop()}`;
}
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.