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Apr 20, 2023
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Plot.plot({
x: {round: true, tickFormat: "d"},
color: {scheme: "BuRd"},
marks: [
Plot.barX(hadcrut, {
x: "year",
fill: "anomaly",
interval: 1, // annual observations
inset: 0 // no gaps
})
]
})
hadcrut = (await FileAttachment("hadcrut-annual.txt").text())
.trim().split(/\n/g) // split into lines
.map(line => line.split(/\s+/g)) // split each line into fields
.map(([year, anomaly]) => ({ // extract the year and median anomaly
year: +year, // as a number
anomaly: +anomaly
}))
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.
