Visualization toolmaker. Founder @observablehq. Creator @d3. Former @nytgraphics. Pronounced BOSS-tock.
Published
Edited
Apr 1, 2018
7 stars
{
const div = html`<div>`;
yield div; // EventDrops needs the DIV to be added to the DOM to infer width.
d3.select(div).datum(repositoriesData).call(chart);
yield div; // Tell Observable that EventDrops has rendered to infer height.
}
chart = eventDrops({
range: {
start: new Date('03/01/2018 6:55:11 PM'),
end: new Date('03/06/2018 7:15:11 PM')
},
drop: {
date: d => d.date,
}
})
repositoriesData = [{
name: "intake",
data: [
{ date: new Date('03/02/2018 6:55:11 PM') },
{ date: new Date('03/02/2018 10:56:11 PM') },
{ date: new Date('03/03/2018 6:57:11 AM') },
]
}, {
name: "eligibility",
data: [
{ date: new Date('03/03/2018 6:58:09 PM') },
{ date: new Date('03/03/2018 11:58:09 PM') }, ]
}, {
name: "assessment",
data: [
{ date: new Date('03/04/2018 6:59:09 PM') }
]
}, {
name: "dispute resolution",
data: [
{ date: new Date('03/05/2018 7:01:09 AM') }
]
}, {
name: "compliance",
data: [
{ date: new Date('03/05/2018 7:05:09 PM') }
]
}, {
name: "closure",
data: [
{ date: new Date('03/05/2018 11:12:07 PM') }
]
}]
d3 = require("d3@4.13.0/build/d3.min.js")
eventDrops = {
window.d3 = d3; // EventDrops requires D3 as a global.
return require("event-drops@1.1.1/dist/index.js");
}
// EventDrops requires a stylesheet.
html`<link href="${resolve("event-drops@1.1.1/dist/style.css")}" rel="stylesheet">`
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.