https://twitter.com/thisismmiller
chart = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height]);
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);
return svg.node();
}
data = Object.assign(d3.csvParse(await FileAttachment("stream_not_found.csv").text(), d3.autoType), {y: "Unemployment"})
series = d3.stack()
.keys(data.columns.slice(1))
.offset(d3.stackOffsetWiggle)
.order(d3.stackOrderInsideOut)
(data)
area = d3.area()
.x(d => x(d.data.date))
.y0(d => y(d[0]))
.y1(d => y(d[1]))
x = d3.scaleUtc()
.domain(d3.extent(data, d => d.date))
.range([margin.left, width - margin.right])
y = d3.scaleLinear()
.domain([d3.min(series, d => d3.min(d, d => d[0])), d3.max(series, d => d3.max(d, d => d[1]))])
.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(".domain").remove())
height = 500
margin = ({top: 0, right: 20, bottom: 30, left: 20})
d3 = require("d3@5")
import {swatches} from "@d3/color-legend"
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.
