Published
Edited
Jan 6, 2022
1 fork
11 stars
Slope ChartQatar Population PyramidSequence LogosCanvas PlotFacet exclusion transformScatterplot matrixThe ARPANET in December 1969Experimental Plot BeeswarmEdit data with PlotPlot: regressionSkies PlotPlot early birdPlot: Difference chartConvex hull mark (#154)Plot: Animate a bar chart (OBSOLETE)Topological subsamplingPlot.stereoHistogramRough PlotHello, olliPlot: Voronoi labelsAoC 12: shortest path under constraintsDistance Angle VoronoiFlight PathsHello, @thi.ng/grid-iteratorsSpotify Pop ArtistsPlot: Radial transformTernary plot
Observable Plot in a Web Worker
Also listed in…
Plot
chart = Generators.queue(
worker(
function P({ data }) {
return Plot.dot(data, {
x: "body_mass_g",
y: "species",
fill: "sex"
}).plot({ marginLeft: 100 }).outerHTML;
},
{ data: penguins },
preamble
)
)
.next()
.value.then((d) => svg`${d}`)
Generators.queue(
worker(
async function P({ url }) {
const data = await d3.csv(url, d3.autoType);
return {
svg: Plot.dot(data, {
x: "body_mass_g",
y: "species",
fill: "sex"
}).plot({ marginLeft: 100 }).outerHTML
};
},
{ url },
preamble
)
)
.next()
.value.then((d) => svg`${d.svg}`)
viewof data = Generators.queue(
worker(
async function P({ url }) {
const data = await d3.csv(url, d3.autoType);
return {
svg: Plot.dot(data, {
x: "body_mass_g",
y: "species",
fill: "sex"
}).plot({ marginLeft: 100 }).outerHTML,
data
};
},
{ url },
preamble
)
)
.next()
.value.then((d) => Object.assign(svg`${d.svg}`, { value: d.data }))
Inputs.table(data)
import { worker } from "@fil/worker"
preamble = `
importScripts("https://cdn.jsdelivr.net/npm/d3@7");
importScripts("https://cdn.jsdelivr.net/npm/@observablehq/plot@0.3.2");
importScripts("https://bundle.run/domino@2.1.6");
globalThis.document = domino.createDocument();
`
url = FileAttachment("penguins.csv").url()
penguins = FileAttachment("penguins.csv").csv({ typed: true })
Plot = "🤯" // a symbol to keep the Observable parser happy; we can leave it out and let it point to stdlib's version instead, but this clarifies that "Plot" in the worker is not this symbol
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.