Published
Edited
Jun 7, 2020
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chart = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height]);
const tooltip = d3.select("body")
.append("div")
.attr("class", "svg-tooltip")
.style("position", "absolute")
.style("visibility", "hidden");
const bar = svg.append("g")
.selectAll("rect")
.data(data)
.join("rect")
.style("mix-blend-mode", "multiply")
.attr("x", d => x(d.name))
.attr("y", d => y(d.value))
.attr("height", d => y(0) - y(d.value))
.attr("width", x.bandwidth())
.attr("fill", d => color(d.name))
//.call(rect => rect.append("title").text(d => `${d.value} new ${d.name} characters`));
.on("mouseover", d => tooltip.style("visibility", "visible").text(`${d.value} new ${d.name} characters`))
.on("mousemove", d => tooltip.style("top", (d3.event.pageY-10)+"px").style("left",(d3.event.pageX+10)+"px"))
.on("mouseout", d => tooltip.style("visibility", "hidden").text(""));
const gx = svg.append("g")
.call(xAxis);
const gy = svg.append("g")
.call(yAxis);
return Object.assign(svg.node(), {
update(order) {
x.domain(data.sort(order).map(d => d.name));
const t = svg.transition()
.duration(750);
bar.data(data, d => d.name)
.order()
.transition(t)
.delay((d, i) => i * 20)
.attr("x", d => x(d.name));
gx.transition(t)
.call(xAxis)
.selectAll(".tick")
.delay((d, i) => i * 20);
}
});
}
styles = html`
<style>
.svg-tooltip {
font-family: -apple-system, system-ui, BlinkMacSystemFont, "Segoe UI", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol";
background: rgba(69,77,93,.9);
border-radius: .1rem;
color: #fff;
display: block;
font-size: 14px;
padding: .2rem .4rem;
position: absolute;
text-overflow: ellipsis;
white-space: pre;
z-index: 300;
visibility: hidden;
}
@media(min-width: 600px) {
.svg-tooltip {
font-size: 20px;
}
}
</style>`
update = chart.update(order)
dataSource = FileAttachment("nationality_distribution@1.csv").text()
data = d3.csvParse(dataSource, ({nationality, count}) => ({name: nationality, value: +count}))
x = d3.scaleBand()
.domain(data.map(d => d.name))
.range([margin.left, width - margin.right])
.padding(0.1)
y = d3.scaleLinear()
.domain([0, d3.max(data, d => d.value)]).nice()
.range([height - margin.bottom, margin.top])
xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x).tickSizeOuter(0))
.call(g => g.selectAll("text")
.attr("y", 5)
.attr("x", 12)
.attr("dy", ".3em")
.attr("transform", "rotate(45)")
.attr('class', 'tick-bar-nationality')
.style("text-anchor", "start"))
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y))
.call(g => g.selectAll("text")
.classed("y-axis-nationality", true))
.call(g => g.select(".domain").remove())
height = 800
import { color as color } from "@dunderdan/wot-colors"
margin = ({top: 20, right: 60, bottom: 180, left: 75})
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.
