Public
Edited
Sep 6, 2022
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Plot.plot({
color: { legend: true },
x: { type: "log" },
y: { type: "log" },
marks: [
Plot.dot(jp_lca_dat, {
x: "Eutrophication (g PO43-eq)",
y: "Water Use (L)",
fill: "Country"
})
]
})
// from the Clark_et_al_2022_PNAS_SM zip file
jp_lca_dat = FileAttachment("jp_lca_dat.csv").csv({typed: true})
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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.
