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Ashish Soni
Public
Data Science Workflows in JavaScript
Edited
Jul 11, 2023
1
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HTL-MAR-FiddlerCrabBodySize.csv
Type Table, then Shift-Enter. Ctrl-space for more options.

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crabs
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crabsJS = crabs.map((d) => ({lat: d.Latitude,
site: d["Site "],
sizeMm: d.carapace_width,
airTempC: d.MATA,
waterTempC: d.MATW}))
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crabsJS
X
airTempC
Y
sizeMm
Color
#9d5bf3
Size
—
Facet X
—
Facet Y
—
Mark
Auto
Type Chart, then Shift-Enter. Ctrl-space for more options.

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Plot.plot({
x: { label: "Air temperature (C)" },
marks: [
Plot.dot(crabsJS, {
x: "airTempC",
y: "sizeMm",
stroke: "#9d5bf3",
tip: true,
fill: "purple",
r: 9,
opacity: 0.5
})
]
})
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Plot.plot({
marks: [
Plot.dot(crabsJS, {x: "lat", y: "sizeMm", tip: true})
]
})
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ML = require("https://www.lactame.com/lib/ml/6.0.0/ml.min.js")
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crabsLM = new ML.SimpleLinearRegression(crabsJS.map((d) => d.lat), crabsJS.map((d) => d.sizeMm))
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crabsJS.map((d) => d.lat)
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crabsJS
X
lat
Y
sizeMm
Color
—
Size
—
Facet X
—
Facet Y
—
Mark
dot
Type Chart, then Shift-Enter. Ctrl-space for more options.

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Plot.plot({
marks: [Plot.dot(crabsJS, { x: "lat", y: "sizeMm", tip: true }),
Plot.linearRegressionY(crabsJS, {x: "lat", y:"sizeMm"}),
Plot.frame()
],
x: {label: "Latitude"},
y: {label: "Carapace size (mm)"}
})
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