Public
Edited
Feb 14, 2023
Plot.plot({
width,
height,
projection: {
type: "mercator",
inset: -300,
},
marks: [
Plot.geo(ne_50m_admin_0_countries, {
fill: "#fafafa",
stroke: "#aaa"
}),
Plot.circle(cloud_cover_mean, {
x: (d) => d.x,
y: (d) => d.y,
//stroke: "black",
//fill: "white"
r: "cloud_cover_mean" //(d) => cloud_cover_radius(d.cloud_cover_mean)
}),
Plot.frame()
]
})
height = width * 0.5
ne_50m_admin_0_countries = FileAttachment("ne_50m_admin_0_countries.geojson").json()
cloud_cover_mean.xyz.csv
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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.
