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Master 1 GAED (Université Paris Cité)
Public
Cours (2)
Edited
Jul 6, 2023
2 stars
2
Cours (2)
Corrélation linéaire et résidus
Statistique descriptive : analyse bivariée
Quelques données sur l'AfriqueLa bibliothèque Observable PlotQuelques données sur l'alimentationPrise en main de la bibliothèque bertinFaire des cartes avec bertin.js
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ss = require("simple-statistics")
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rp2012.geocoded.csv
Type Table, then Shift-Enter. Ctrl-space for more options.

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corr = ss.sampleCorrelation(
rp2012.map((d) => d.dipl_sup),
rp2012.map((d) => d.cadres)
)
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lm = ss.linearRegression(rp2012.map((d) => [d.dipl_sup, d.cadres])) // => { m: 1, b: 0 }
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linearRegressionLine = ss.linearRegressionLine(lm)
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linearRegressionLine(10)
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+(corr * corr).toFixed(4)
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sample = rp2012.map((d) => [d.dipl_sup, d.cadres])
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+ss.rSquared(sample, linearRegressionLine).toFixed(4)
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Plot.plot({
marks: [
Plot.dot(rp2012, {
x: "dipl_sup",
y: "cadres",
fill: "#5d5aa1",
fillOpacity: 0.3
}),
Plot.linearRegressionY(rp2012, {
x: "dipl_sup",
y: "cadres",
stroke: "#400b30"
})
]
})
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bertin.draw({
params: { projection: "epsg:2154" },
layers: [
{
geojson: fitted.filter(
(d) =>
!["Guyane", "Martinique", "Guadeloupe", "La Réunion"].includes(
d.region
)
),
fill: {
type: "choro",
values: "normres",
leg_x: 100,
leg_y: 500,
breaks,
colors: "RdYlGn"
},
tooltip: ["$commune", (d) => "Résidu : " + d.properties.res.toFixed(2)]
}
]
})
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hdv2003.csv
Type Table, then Shift-Enter. Ctrl-space for more options.

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