Plot.plot({
marks: [
Plot.dot(cars, {x: "power (hp)", y: "weight (lb)", stroke: "cylinders"})
]
})
cars
table_by_rows = [{person: "Ian", country: "United States"}, {person: "Enora", country: "France"}]
table_by_columns = ({name: ["Ian", "Enora"], country: ["United States", "France"]})
FileAttachment("data101.xlsx").xlsx()
nycSpreadsheet = FileAttachment("data101.xlsx").xlsx()
nycData = nycSpreadsheet.sheet(0, { headers: true })
Plot.plot({
marks: [
Plot.dot(nycData, {x: "date", y: "medianAskingPrice"})
]
})
Plot.plot({
marks: [
Plot.dot(nycData, {x: "date", y: "medianAskingPrice", fill: "neighborhood"})
],
marginLeft: 100
})
Plot.plot({
marks: [
Plot.dot(nycData, {x: "date", y: "medianAskingPrice", fill: "neighborhood"})
],
color: { legend: true },
marginLeft: 100
})
Plot.plot({
marks: [
Plot.dot(nycData, {x: "date", y: "medianAskingPrice", r: "priceCutShare", fill: "neighborhood"})
],
color: { legend: true },
marginLeft: 100
})
Plot.plot({
marks: [
Plot.ruleY([0]),
Plot.line(nycData, { x: "date", y: "medianAskingPrice", stroke: "neighborhood"}),
Plot.dot(nycData, {x: "date", y: "medianAskingPrice", fill: "neighborhood", r: "priceCutShare"}),
],
color: { legend: true },
marginLeft: 100,
})
Plot.plot({
facet: {
data: nycData,
y: "borough",
marginRight: 100,
},
marks: [
Plot.frame({ stroke: "lightgray" }),
Plot.ruleY([0]),
Plot.dot(nycData, {x: "date", y: "medianAskingPrice", fill: "neighborhood", r: "priceCutShare"}),
Plot.line(nycData, { x: "date", y: "medianAskingPrice", stroke: "neighborhood", z: "neighborhood"}),
],
color: { legend: true },
marginLeft: 100,
})
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.
