chart = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, 1200]);
svg.append("g")
.call(xAxis);
svg.append("g")
.call(yAxis);
svg.append("g")
.selectAll("circle")
.data(data)
.join("circle")
.attr("cx", d => x(d.lng))
.attr("cy", d => y(d.lat))
.attr("r", 2)
return svg.node();
}
data = FileAttachment("final.json").json().then(data => data.filter(d =>
d.lat > 49.5 &&
d.lat < 60 &&
d.lng < 2 &&
d.lng > -10 &&
d.address &&
!d.address.toLowerCase().includes("ireland")
)
)
x = d3.scaleLinear()
.domain(d3.extent(data, d => d.lng)).nice()
.range([margin.left, width - margin.right])
y = d3.scaleLinear()
.domain(d3.extent(data, d => d.lat)).nice()
.range([width - margin.bottom, margin.top])
xAxis = g => g
.attr("transform", `translate(0,${width - margin.bottom})`)
.call(d3.axisBottom(x))
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y))
margin = ({top: 25, right: 20, bottom: 35, left: 40})
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.
