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Joe Davies
Data Visualization & GIS at Eurostat. Exploring new ways of making maps.
Published
Edited
Feb 27, 2022
1 fork
8 stars
1
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eurostatmap = require("eurostat-map@3.3.5")
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createSvg = function(id) {
return html`<svg id=${id}></svg>`;
}
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eurostatmap
.map("ch") // ch = choropleth
.svgId("map1") // this will be the id of our svg
.nutsLvl(2)
.insets("default") // show overseas regions using the default styling
.classifMethod("threshold")
.threshold([50, 65, 70, 73, 80]) //the values of each class, the original map has 75 but 73 is more meaningful as it is the EU average
.colors(["#F45C19", "#F37E15", "#F79E0E", "#F9CB80", "#7799D6", "#3E6AB3"]) //the colours of each class

// here we define the eurostat dataset we want to use, and its filters.
// See https://github.com/eurostat/eurostat-map.js/blob/master/docs/reference.md#eurostat-database for more details
.stat({
eurostatDatasetCode: "lfst_r_lfe2emprtn",
filters: {
citizen: "TOTAL",
time: "2018",
unit: "PC",
isced11: "TOTAL",
age: "Y20-64"
},
unitText: "% of people aged 20-64 years"
})

//add a legend
.legend({
x: 10,
y: 180,
title: "%",
labelDecNb: 0
})

//add a title
.title("Employment rate, 2019")
.titleFontSize(20)

.build()
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createSvg("map1")
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createSvg("map2")
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createSvg("map3")
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d3 = require("d3-scale-chromatic")
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createSvg("map4")
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