Visualization toolmaker. Founder @observablehq. Creator @d3. Former @nytgraphics. Pronounced BOSS-tock.
Published
Edited
Jan 29, 2019
3 forks
35 stars
chart = {
const svg = d3.select(DOM.svg(width, height));
svg.append("g")
.attr("transform", `translate(${width - margin.right},0)`)
.call(d3.axisLeft(y)
.ticks(d3.timeFriday)
.tickFormat(d => d.toLocaleString(undefined, {day: "numeric"})))
.call(g => g.select(".domain").remove());
svg.append("g")
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisRight(y)
.ticks(d3.timeMonth)
.tickSize(width - margin.left - margin.right)
.tickFormat(d => d.toLocaleString(undefined, {month: "long"})))
.call(g => g.select(".domain").remove())
.call(g => g.selectAll(".tick line").attr("stroke", "#ccc"))
.call(g => g.selectAll(".tick text").attr("x", null).attr("dy", "-0.6em"));
svg.append("g")
.selectAll("path")
.data(series)
.join("path")
.attr("fill", d => z(d.sum))
.attr("d", area)
.append("title")
.text(d => d.key);
yield svg.node();
svg.append("g")
.attr("font-size", 10)
.attr("font-family", "sans-serif")
.attr("text-anchor", "middle")
.selectAll("text")
.data(series
.map(d => {
const i = d3.scan(d, (b, a) => (a[1] - a[0]) - (b[1] - b[0]));
return {
key: d.key,
date: data[i].date,
value: d[i][1] - d[i][0],
center: (d[i][0] + d[i][1]) / 2
};
})
.filter(d => d.value > 1e6)
.sort((a, b) => b.value - a.value)
)
.join("text")
.attr("x", d => x(d.center))
.attr("y", d => y(d.date))
.attr("dy", "0.35em")
.text(d => d.key)
.each(labelRemover());
}
function labelRemover() {
const spanIndex = new Map;
return function() {
const box = this.getBBox();
const spans = spanIndex.get(box.y) || [];
const x0 = box.x - 8, x1 = box.x + box.width + 8;
for (const [s0, s1] of spans) {
if (x1 >= s0 && x0 <= s1) {
this.parentNode.removeChild(this);
return;
}
}
spans.push([x0, x1, this.textContent]);
spanIndex.set(box.y, spans);
};
}
x = d3.scaleLinear()
.domain([
d3.min(series, d => d3.min(d, d => d[0])),
d3.max(series, d => d3.max(d, d => d[1]))
])
.range([margin.left, width - margin.right])
y = d3.scaleTime()
.domain(d3.extent(data, d => d.date))
.rangeRound([height - margin.top, margin.bottom])
z = d3.scaleSequentialSqrt(t => d3.interpolateGreens((t + 0.5) / 2))
.domain(d3.extent(series, d => d.sum))
area = d3.area()
.curve(d3.curveBasis)
.y((d, i) => y(data[i].date))
.x0(d => x(d[0]))
.x1(d => x(d[1]))
height = width * 3.4
margin = ({top: 10, right: 0, bottom: 10, left: 0})
data = {
const response = await fetch("https://gist.githubusercontent.com/mbostock/79cd2fac8512a3c8c149e7ca97ec8151/raw/788a18daee56c463c07518764cbd3951cab1b4ae/box-office-2018.json");
const object = await response.json();
const titles = new Set;
const parseDate = d3.timeParse("%Y-%m-%d");
const data = Object.entries(object).map(([key, value], i) => {
const movies = Object.create(null);
for (const {title, gross} of value) {
titles.add(title);
movies[title] = gross;
}
return {date: parseDate(key), movies};
});
return Object.assign(data, {titles: Array.from(titles)});
}
stack = d3.stack()
.keys(data.titles)
.offset(d3.stackOffsetWiggle)
.order(d3.stackOrderInsideOut)
.value((d, key) => d.movies[key] || 0)
series = {
const series = stack(data);
for (const s of series) {
s.sum = d3.sum(s, d => d[1] - d[0]);
}
return series;
}
d3 = require("d3@^5.8")
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