I love to build dataviz for insight discovery. I also love to put technology to the service of humanity
selection // brush an axis below to see this update!
viewof selection = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height]);
const brush = d3.brushX()
.extent([
[margin.left, -(brushHeight / 2)],
[width - margin.right, brushHeight / 2]
])
.on("start brush end", brushed);
const path = svg.append("g")
.attr("fill", "none")
.attr("stroke-width", 1.5)
.attr("stroke-opacity", 0.4)
.selectAll("path")
.data(data.slice().sort((a, b) => d3.ascending(a[keyz], b[keyz])))
.join("path")
.attr("stroke", d => z(d[keyz]))
.attr("d", d => line(d3.cross(keys, [d], (key, d) => [key, d[key]])));
path.append("title")
.text(label);
svg.append("g")
.selectAll("g")
.data(keys)
.join("g")
.attr("transform", d => `translate(0,${y(d)})`)
.each(function(d) { d3.select(this).call(d3.axisBottom(x.get(d))); })
.call(g => g.append("text")
.attr("x", margin.left)
.attr("y", -6)
.attr("text-anchor", "start")
.attr("fill", "currentColor")
.text(d => d))
.call(g => g.selectAll("text")
.clone(true).lower()
.attr("fill", "none")
.attr("stroke-width", 5)
.attr("stroke-linejoin", "round")
.attr("stroke", "white"))
.call(brush);
const selections = new Map();
function brushed({selection}, key) {
if (selection === null) selections.delete(key);
else selections.set(key, selection.map(x.get(key).invert));
const selected = [];
path.each(function(d) {
const active = Array.from(selections).every(([key, [min, max]]) => d[key] >= min && d[key] <= max);
d3.select(this).style("stroke", active ? z(d[keyz]) : deselectedColor);
if (active) {
d3.select(this).raise();
selected.push(d);
}
});
svg.property("value", selected).dispatch("input");
}
return svg.property("value", data).node();
}
data = FileAttachment("cars.csv").csv({typed: true})
keys = data.columns.slice(1)
x = new Map(Array.from(keys, key => [key, d3.scaleLinear(d3.extent(data, d => d[key]), [margin.left, width - margin.right])]))
y = d3.scalePoint(keys, [margin.top, height - margin.bottom])
z = d3.scaleSequential(x.get(keyz).domain().reverse(), colors)
line = d3.line()
.defined(([, value]) => value != null)
.x(([key, value]) => x.get(key)(value))
.y(([key]) => y(key))
label = d => d.name
colors = d3.interpolateBrBG
deselectedColor = "#ddd"
brushHeight = 50
margin = ({top: 30, right: 10, bottom: 30, left: 10})
height = keys.length * 120
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.
