The avatar for @anwarhahjjeffersongeorge
AHJ George
Public
Edited
Aug 1, 2023
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maples = d3.csv("https://portal.edirepository.org/nis/dataviewer?packageid=knb-lter-hbr.157.3&entityid=5c415a399b00430d35d13c31312f1e53", d3.autoType)
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maples
Type Table, then Shift-Enter. Ctrl-space for more options.

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maples2003 = maples.map(({
Year: year,
Watershed: watershed,
StemLength: stemLength,
LeafDryMass: leafMass,
StemDryMass: stemMass,
CorrectedLeafArea: leafArea
}) => ({ year, watershed, stemLength, leafMass, stemMass, leafArea }))
.filter(({year}) => year == 2003)
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maples2003
X
leafArea
Y
—
Color
watershed
Size
—
Facet X
—
Facet Y
watershed
Mark
Auto
Type Chart, then Shift-Enter. Ctrl-space for more options.

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Plot.plot({
marks: [
Plot.dot(maples2003, {
x: "stemLength",
y: "stemMass",
fill: "watershed",
opacity: 0.5,
tip: true,
}),
Plot.linearRegressionY(maples2003, {
x: "stemLength",
y: "stemMass",
stroke: "watershed",
})
],
})
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import { PlotMatrix } with { maples2003 as data } from "@observablehq/autoplot-matrix"
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maplesMatrix = PlotMatrix({data: maples2003})
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maplesScaled= scale(maples2003)
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maplesArray = maplesScaled.map(({stemLength, leafMass, stemMass, leafArea}) => [stemLength, leafMass, stemMass, leafArea ] )
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ML = require("https://www.lactame.com/lib/ml/6.0.0/ml.min.js")
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maplesClusters = ML.KMeans(maplesArray, 2)
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maplesWithClustersSoundsLikeACereal = maplesScaled.map(({year, watershed, ...maple}, i) => ({...maple, cluster: maplesClusters.clusters[i], watershed: maples2003[i].watershed}))
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maplesWithClustersSoundsLikeACereal
X
leafMass
Y
leafArea
Color
cluster
Size
—
Facet X
—
Facet Y
watershed
Mark
Auto
Type Chart, then Shift-Enter. Ctrl-space for more options.

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maplesWithClustersSoundsLikeACereal
X
stemLength
Y
stemMass
Color
cluster
Size
—
Facet X
—
Facet Y
watershed
Mark
Auto
Type Chart, then Shift-Enter. Ctrl-space for more options.

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