Senior Art Editor at Nature News in London.
map = Plot.plot({
width,
projection: "equal-earth",
marks: [
// Plot.graticule(),
Plot.geo(land, { fill: "#ececec" }),
Plot.dot(data_pv, {
x: "x",
y: "y",
fill: "blue",
opacity: 0.05,
r: 1
}),
Plot.dot(data_pf, {
x: "x",
y: "y",
fill: "red",
opacity: 0.05,
r: 1
}),
Plot.sphere()
]
})
data_pf = FileAttachment("malaria-p-falciparum.csv").csv({ typed: true })
data_pv = FileAttachment("malaria-p-vivax.csv").csv({ typed: true })
import { land } from "647cbe5c1ac9e332"
import { world } from "@jashkenas/latitude-longitude-world-map-plotter"
Purpose-built for displays of data
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.
