Plot.plot({
marks: [
Plot.cell(weather.slice(-365), {
x: d => d.date.getUTCDate(),
y: d => d.date.getUTCMonth(),
fill: "temp_max"
})
]
})
Plot.plot({
axis: null,
margin: 20,
marginRight: 120,
marks: [
Plot.tree(flare.slice(0, 50), {path: "name", delimiter: "."})
]
})
energy = FileAttachment("us_energy.csv").csv({typed: true})
Select a data source…
Type Table, then Shift-Enter. Ctrl-space for more options.
energy
Type Table, then Shift-Enter. Ctrl-space for more options.
Plot.plot({
marks: [
Plot.line(energy, { x: "year", y: "quadrillion_btu" , z: "type"})
]
})
Plot.plot({
marks: [
Plot.ruleY([0]),
Plot.ruleX([1973]),
Plot.lineY(energy, {
x: "year",
y: "quadrillion_btu",
stroke: "type",
tip: true
}),
Plot.dot(energy, {
x: "year",
y: "quadrillion_btu",
stroke: "white",
fill: "type"
})
]
})
Plot.plot({
marks: [
Plot.dot(penguins, {
x: "flipper_length_mm",
y: "body_mass_g",
fill: "species",
r: "flipper_length_mm"
})
],
r: {
domain: d3.extent(penguins, (d) => d.flipper_length_mm),
range: [1, 10]
},
color: {
legend: true,
domain: ["Adelie", "Chinstrap", "Gentoo"],
rage: ["purple", "teal", "orange"]
}
})
import { showMe } from "@observablehq/show-me"
Type JavaScript, then Shift-Enter. Ctrl-space for more options. Arrow ↑/↓ to switch modes.
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.
