Public
Edited
Jul 11, 2023
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HTL-MAR-FiddlerCrabBodySize.csv
Type Table, then Shift-Enter. Ctrl-space for more options.

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crabsJS = crabs.map((d) => ({
lat: d.Latitude,
site: d["Site "],
airTempC: d.MATA,
waterTempC: d.MATW,
sizeMm: d.carapace_width
}))
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crabsJS
X
airTempC
Y
sizeMn
Color
#65a7ff
Size
Facet X
Facet Y
Mark
Auto
Type Chart, then Shift-Enter. Ctrl-space for more options.

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viewof pickSize = Inputs.range([0, 100], { label: "Amount", step: 1 })
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Plot.plot({
x: { label: "air temp c" },
marks: [
Plot.dot(crabsJS, {
x: "airTempC",
y: "sizeMn",
stroke: "#65a7ff",
fill: "purple",
tip: true,
r: pickSize,
opacity: 0.5,
tip: true
})
]
})
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Plot.plot({
marks: [Plot.dot(crabsJS, { x: "lat", y: "sizeMm" })]
})
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ML = require("https://www.lactame.com/lib/ml/6.0.0/ml.min.js")
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crabsML = new ML.SimpleLinearRegression(
crabsJS.map((d) => d.lat),
crabsJS.map((d) => d.sizeMm)
)
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crabsML.slope
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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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