Business Intelligence specialist.
I turn data into actionable insights [and profit].
Published
Edited
Nov 1, 2019
Importers
chart = {
const svg = d3.create("svg").attr("viewBox", [0, 0, width, height]);
const path = svg
.append("g")
.selectAll("path")
.data(series)
.join("path")
.attr("fill", ({ key }) => color(key))
.attr("d", area)
.append("title")
.text(({ key }) => key);
svg.append("g").call(xAxis);
svg.append("g").call(yAxis);
return svg.node();
}
data = {
let res = await d3.csv(
await FileAttachment("unemployment-2.csv").url(),
d3.autoType
);
//workaround to have numbers as data input for x axis
res.forEach(function(record, i) {
res[i].date = i;
});
return Object.assign(res, { y: "Unemployment", x: "date" });
}
series = d3.stack().keys(data.columns.slice(1))(data)
area = d3
.area()
.x(function(d, i) {
return x(d.data[data.x]);
})
.y0(d => y(d[0]))
.y1(d => y(d[1]))
x = d3
.scaleLinear()
.domain([0, d3.max(data, d => d[data.x])])
.range([margin.left, width - margin.right])
y = d3.scaleLinear()
.domain([0, d3.max(series, d => d3.max(d, d => d[1]))]).nice()
.range([height - margin.bottom, margin.top])
color = d3.scaleOrdinal()
.domain(data.columns.slice(1))
.range(d3.schemeCategory10)
xAxis = g =>
g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(
d3
.axisBottom(x)
.ticks(width / 80)
.tickSizeOuter(0)
)
.call(g =>
g
.select(".tick:last-of-type text")
.clone()
.attr("dy", "2em")
.attr("text-anchor", "end")
.attr("font-weight", "bold")
.text(data.x)
)
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y))
.call(g => g.select(".domain").remove())
.call(g => g.select(".tick:last-of-type text").clone()
.attr("x", 3)
.attr("text-anchor", "start")
.attr("font-weight", "bold")
.text(data.y))
height = 500
margin = ({ top: 20, right: 30, bottom: 40, left: 40 })
d3 = require("d3@5")
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.
