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Plot.rectY({length: 10000}, Plot.binX({y: "count"}, {x: d3.randomNormal()})).plot()
aapl = [
{Date: new Date("2013-05-13"), Open: 64.501427, High: 65.414284, Low: 64.500000, Close: 64.962860, Volume: 79237200},
{Date: new Date("2013-05-14"), Open: 64.835716, High: 65.028572, Low: 63.164288, Close: 63.408573, Volume: 111779500},
{Date: new Date("2013-05-15"), Open: 62.737144, High: 63.000000, Low: 60.337143, Close: 61.264286, Volume: 185403400},
{Date: new Date("2013-05-16"), Open: 60.462856, High: 62.549999, Low: 59.842857, Close: 62.082859, Volume: 150801000},
{Date: new Date("2013-05-17"), Open: 62.721428, High: 62.869999, Low: 61.572857, Close: 61.894287, Volume: 106976100}
]
Plot.plot({
marks: [
Plot.frame(),
Plot.ruleY(aapl),
//Plot.ruleY(aapl, {y: "Close"}),
//Plot.ruleX(aapl, {x: "Date"}),
Plot.lineY(aapl, {x: "Date", y: "Close", stroke: "red"}),
Plot.text(aapl, {
x: "Date",
y: "Close",
//z: "Symbol",
text: "Date",
textAnchor: "start",
dx: 3
})
]
})
Plot.plot({
x: {padding: 0.4},
marks: [
Plot.barY(alphabet, {x: "letter", y: "frequency", dx: 1, dy: 1}),
Plot.barY(alphabet, {x: "letter", y: "frequency", fill: "green", dx: -1, dy: -1})
]
})
Plot.dot(gistemp, {x: "Date", y: "Anomaly"}).plot()
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.
