Published
Edited
Dec 17, 2020
md`# Animated map of UK imports`
width = 1000
height = 600
chart_1 = {
const svg = d3.create("svg")
.attr("height", height)
.attr("width", width)
const projection = d3.geoMercator()
.fitSize([width, height], world)
const path = d3.geoPath()
.projection(projection)
svg.selectAll("path")
.data(world.features)
.enter()
.append("path")
.attr("d", path)
.style("fill", "#bdbdbd")
.style("stroke", "#fff")
return svg.node();
}
european_countries = ["Austria", "Belgium", "Bulgaria", "Croatia", "Cyprus", "Czechia", "Denmark", "Estonia", "Finland", "France", "Germany", "Greece", "Hungary", "Ireland", "Italy", "Latvia", "Lithuania", "Luxembourg", "Malta", "Netherlands", "Poland", "Portugal", "Romania", "Slovakia", "Slovenia", "Spain", "Sweden"]
chart_2 = {
const svg = d3.create("svg")
.attr("height", height)
.attr("width", width)
const projection = d3.geoMercator()
.fitSize([width, height], europe_extent)
const path = d3.geoPath()
.projection(projection)
svg.selectAll("path")
.data(world.features)
.enter()
.append("path")
.attr("d", path)
.style("fill", "#bdbdbd")
.style("stroke", "#fff")
const uk = world.features.find(country => country.properties.NAME === "United Kingdom")
svg.selectAll("line")
.data(world.features.filter(country => european_countries.find(c => c === country.properties.NAME)))
.enter()
.append("line")
.attr("x1", d => path.centroid(d)[0])
.attr("x2", d => path.centroid(uk)[0])
.attr("y1", d => path.centroid(d)[1])
.attr("y2", d => path.centroid(uk)[1])
.style("stroke", "red")
return svg.node();
}
country_3 = {
const svg = d3.create("svg")
.attr("height", height)
.attr("width", width)
const projection = d3.geoMercator()
.fitSize([width, height], europe_extent)
const path = d3.geoPath()
.projection(projection)
svg.selectAll("path")
.data(world.features)
.enter()
.append("path")
.attr("d", path)
.style("fill", "#bdbdbd")
.style("stroke", "#fff")
const uk = world.features.find(country => country.properties.NAME === "United Kingdom")
const cheese_data = trade_data.filter(d => d.Item === "Cheese, whole cow milk")
const max_value = d3.max(cheese_data, d => d["Value"])
const line_width = d3.scaleSqrt().domain([0, max_value]).range([0, 5])
svg.selectAll("line")
.data(world.features.filter(country => european_countries.find(c => c === country.properties.NAME)))
.enter()
.append("line")
.attr("x1", d => path.centroid(d)[0])
.attr("x2", d => path.centroid(uk)[0])
.attr("y1", d => path.centroid(d)[1])
.attr("y2", d => path.centroid(uk)[1])
.style("stroke", "#20bbfc") //blue
.style("stroke-opacity", "0.7")
.style("stroke-width", d => {
const data = cheese_data.find(c => c["Partner Countries"] === d.properties.NAME)
return line_width(data["Value"])
})
svg.selectAll("text")
.data(world.features.filter(country => european_countries.find(c => c === country.properties.NAME)))
.enter()
.append("text")
.attr("x", d => path.centroid(d)[0])
.attr("y", d => path.centroid(d)[1])
.text(d => d.properties.NAME)
return svg.node();
}
country_4 = {
const svg = d3.create("svg")
.attr("height", height)
.attr("width", width)
const projection = d3.geoMercator()
.fitSize([width, height], europe_extent)
const path = d3.geoPath()
.projection(projection)
svg.selectAll("path")
.data(world.features)
.enter()
.append("path")
.attr("d", path)
.style("fill", "#eaeaea")
.style("stroke", "#fff")
const uk = world.features.find(country => country.properties.NAME === "United Kingdom")
const cheese_data = trade_data.filter(d => d.Item === "Cheese, whole cow milk")
const data_extent = d3.extent(cheese_data, d => d["Value"])
const line_width = d3.scaleSqrt().domain(data_extent).range([0, 5])
svg.selectAll("line.base")
.data(world.features.filter(country => european_countries.find(c => c === country.properties.NAME)))
.enter()
.append("line")
.attr("x1", d => path.centroid(d)[0])
.attr("x2", d => path.centroid(uk)[0])
.attr("y1", d => path.centroid(d)[1])
.attr("y2", d => path.centroid(uk)[1])
.style("stroke", "#20bbfc")
.style("stroke-opacity", "0.2")
.style("stroke-width", d => {
const data = cheese_data.find(c => c["Partner Countries"] === d.properties.NAME)
return line_width(data["Value"])
})
svg.selectAll("line.overlap")
.data(world.features.filter(country => european_countries.find(c => c === country.properties.NAME)))
.enter()
.append("line")
.attr("x1", d => path.centroid(d)[0])
.attr("x2", d => path.centroid(uk)[0])
.attr("y1", d => path.centroid(d)[1])
.attr("y2", d => path.centroid(uk)[1])
.style("stroke-width", d => {
const data = cheese_data.find(c => c["Partner Countries"] === d.properties.NAME)
return line_width(data["Value"])
})
.classed("animated-line", true)
svg.selectAll("text")
.data(world.features.filter(country => european_countries.find(c => c === country.properties.NAME)))
.enter()
.append("text")
.attr("x", d => path.centroid(d)[0])
.attr("y", d => path.centroid(d)[1])
.text(d => d.properties.NAME)
return svg.node();
}
html`<style>
.animated-line {
stroke-dasharray: 1,50;
stroke-linecap: round;
stroke-dashoffset: 1000000;
animation: dash 20000s linear infinite;
stroke-opacity: 0.9;
stroke: #20bbfc;
}
@keyframes dash {
100% {
stroke-dashoffset: 0;
}
}
text {
text-anchor: middle;
font-size: 9px;
font-family: Arial;
opacity: 0.8;
}
</style>`
d3 = require("d3@5")
trade_data = d3.csv("https://interactive.guim.co.uk/atoms/2019/07/brexit-food/v/1565715578702/assets/trade_eu.csv")
world = FileAttachment("world.geojson").json()
europe_extent = JSON.parse(`{
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"properties": {},
"geometry": {
"type": "Polygon",
"coordinates": [[[-14.765625,34.016241889667015],[-14.765625,66.79190947341796],[44.12109374999999,66.79190947341796],[44.12109374999999,34.016241889667015],[-14.765625,34.016241889667015]]]
}
}
]
}`)
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.