Stories with data, visuals & code at CNN.
chart = {
const svg = d3.create("svg").attr("viewBox", [0, 0, width, height]);
svg.append("g").call(xAxis);
svg.append("g").call(yAxis);
svg
.append("g")
.attr("fill", "#7c4ea5")
// .attr("stroke-width", 1)
// .attr("pointer-events", "all")
.selectAll("rect")
.data(data)
.join("rect")
.attr("x", (d) => x(d.value) - 0.75)
.attr("y", (d) => y(d.age))
.attr("width", 1)
.attr("height", y.bandwidth())
.append("title")
.text(
(d) => `${d.name}
${(d.value * 100).toFixed(1)}% ${d.age}`
);
return svg.node();
}
data = {
const data = d3.csvParse(await FileAttachment("us-population-state-age.csv").text(), d3.autoType);
const ages = data.columns.slice(1);
for (const d of data) d.total = d3.sum(ages, age => d[age]);
return ages.flatMap(age => data.map(d => ({name: d.name, age, value: d[age] / d.total})));
}
nudata = {
const nudata_raw = d3.csvParse(
await FileAttachment("categories@4.csv").text()
);
return nudata_raw;
}
dateParser = d3.timeParse("%Y-%m-%d")
x = d3.scaleLinear()
.domain(d3.extent(data, d => d.value))
.range([margin.left + 10, width - margin.right])
y = d3.scaleBand()
.domain(data.map(d => d.age))
.rangeRound([margin.top, height - margin.bottom])
.padding(0.1)
xAxis = g => g
.attr("transform", `translate(0,${margin.top})`)
.call(d3.axisTop(x).ticks(null, "%"))
.call(g => g.selectAll(".tick line").clone().attr("stroke-opacity", 0.1).attr("y2", height - margin.bottom - margin.top))
.call(g => g.selectAll(".domain").remove())
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y))
.call(g => g.selectAll(".tick line").clone().attr("stroke-opacity", 0.1).attr("x2", width - margin.right - margin.left))
.call(g => g.selectAll(".domain").remove())
height = 500
margin = ({top: 20, right: 10, bottom: 10, left: 40})
d3 = require("d3@6")
import {legend} 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.
