Public
Edited
Jan 22, 2024
world = d3.json(
"https://gist.githubusercontent.com/comeetie/d7bd17df5c3c984f8393415c121f5bf6/raw/6c6edbd837eb03e9343b17c0f52c2cd13381e446/natural_earth.geojson"
)
world.features.map( r=> r.properties.ISO_A2_EH)
perceived_health_raw = d3.csv("https://gist.githubusercontent.com/comeetie/d7bd17df5c3c984f8393415c121f5bf6/raw/3cd7c68ecd581cd7c782906de8de0336013b3ae8/health_europe.csv",d3.autoType)
perceived_health_raw
Type Table, then Shift-Enter. Ctrl-space for more options.
levels = new Set(perceived_health_raw.map( d=> d.levels))
levels_array = Array.from(levels)
perceived_health=perceived_health_raw.filter( r=> r.levels=="GOOD")
bertin.match(world, "ISO_A2_EH", perceived_health, "geo")
data_merged = bertin.properties.filter({geojson:bertin.merge(world, "ISO_A2_EH", perceived_health, "geo"),expression:year})
data_merged.features.map(r=>r.properties[year])
epsg3035 = "+proj=laea +lat_0=52 +lon_0=10 +x_0=4321000 +y_0=3210000 +ellps=GRS80 +units=m +no_defs"
years = perceived_health_raw.columns.filter( col=> col.includes("A20"))
year = years[year_i]
viewof select = Inputs.select(["A", "B"], {label: "Select one"})
choro = bertin.draw({
params: { projection: epsg3035,extent:bertin.properties.filter({geojson:data_merged,expression:"geo!='FR'"}),height:650,width:600},
layers: [
{
type: "header",
text: `Habitants se déclarant en bonne santé en ${year.substring(1)}`,
fontSize: 20,
fontFamily:"Roboto"
},
{
type: "footer",
text: "Source: Eurostats, 2021",
fontSize: 10,
},
{
type: "layer",
geojson: data_merged,
fill: {
type: "choro",
values: year,
nbreaks: 9,
method: "quantile",
colors: "Blues",
leg_round: 1,
leg_title: `habitants en bonne santé (%)`,
leg_x: 50,
leg_y: 50
},
tooltip: ["$NAME_FR" ,`$${year}`]
},
{
type: "layer",
geojson: world,
fill: "#999999",
}
]
})
viewof year_i = Inputs.range([0, 10], {label: "Année", step: 1})
circle = d3.geoCircle().center([10, 50]).radius(25)()
data_merged.features.map(d=>Math.round(d.properties[year]))
chart = {
const width = 640;
const height = 400;
const margin = {top: 20, right: 30, bottom: 30, left: 40};
const svg = d3.create("svg")
.attr("width", width)
.attr("height", height);
const gback = svg.append("g")
const gfront = svg.append("g")
gfront.selectAll("path")
.data(data_merged.features)
.enter()
.append("path")
.attr("fill", d=> color(d.properties[year]))
.attr("stroke", "#111111")
.attr("d", path)
.append("title").text(d=> d.properties.NAME_FR+" : "+d.properties[year] + "%");
gback.selectAll("path")
.data(world.features)
.enter()
.append("path")
.attr("fill", "#777777")
.attr("stroke", "#111111")
.attr("d", path);
return svg.node();
}
color = d3.scaleQuantile(data_merged.features.map((d) => d.properties[year]), d3.schemeBlues[7]);
proj = d3.geoAzimuthalEqualArea().scale(600).center([20,48])
proj([2.4,32.5])
path =d3.geoPath(proj)
path(data_merged.features[5])
color(33)
bertin = require("bertin@1.8")
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