Published
Edited
Dec 31, 2020
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)
// on hover scale grey and also highlight the current area in yellow
// or click turn that element black
// on mouseout go back to rainbow but selected element should still be black
// and when you click a new area that should go back to the rainbow color
// and the new area/selection should be black
.on("mouseover", (event, d) => {
// const e = svg.nodes();
// const i = e.indexOf(this);
d3.selectAll("path").attr("fill", function(d, i) { return colorGray(i) })
d3.select(event.currentTarget).style("fill", "yellow")
d3.selectAll("path").attr("fill", ({key}) => color(key))
})
.on("click", (event, d) => {
d3.select(event.currentTarget).style("fill", "black")
})
.on("mouseout", (d, i) => {
d3.selectAll("path").attr("fill", ({key}) => color(key))
})
.append("title")
.text(({key}) => key);
svg.append("g")
.call(xAxis);
svg.append("g")
.call(yAxis);
return svg.node();
}
data.columns.slice(1)
colorGray = d3.scaleLinear()
.domain([0, data.columns.slice(1).length])
.range(["#9B9B9B", "#E9E9E9"])
data = Object.assign(d3.csvParse(await FileAttachment("unemployment-2.csv").text(), d3.autoType), {y: "Unemployment"})
series = d3.stack().keys(data.columns.slice(1))(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([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,${height - margin.bottom})`)
.call(d3.axisBottom(x).ticks(width / 80).tickSizeOuter(0))
yAxis = g => g
.attr("transform", `translate(${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: 30, left: 40})
d3 = require("d3@6")
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.
