Public
Edited
Apr 21, 2024
populationByPrefecture
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addTooltips(
Plot.plot({
marginLeft: 120,
x: {
grid: true,
tickFormat: "s"
},
color: {scheme: "spectral", domain: genders, legend: true},
marks: [
Plot.barX(populationByPrefectureGender, {
y: "district",
x: "population",
fill: "gender",
title: "population",
sort: {y: "x", reverse: true}
}),
Plot.ruleX([0])
]
})
)
chart = PieChart(populationByPrefecture, {
name: d => d["地区"],
value: d => d["男"] + d["女"],
})
import {addTooltips} from "@mkfreeman/plot-tooltip"
import {PieChart} from "@d3/pie-chart"
workbook = FileAttachment("人口普查.xlsx").xlsx()
populationByPrefecture = workbook.sheet("地级", { headers: true })
genders = ["男", "女"]
populationByPrefectureGender = genders.flatMap(gender => populationByPrefecture.map(d => ({district: d.地区, gender, population: d[gender]})))
prefectureToPopulation = new Map(populationByPrefecture.map(({地区, 男, 女}) => [地区, 男 + 女]))
sichuan = d3.json("https://geojson.cn/api/data/510000.topo.json")
prefectures = topojson.feature(sichuan, sichuan.objects.default)
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.
