Published
Edited
Sep 14, 2021
chart = {
const svg = d3
.create("svg")
.attr("viewBox", [0, 0, width, height])
.style("overflow", "visible");
svg.append("g").call(xAxis);
svg.append("g").call(yAxis);
const path = svg
.append("g")
.attr("fill", "none")
.attr("stroke", "#9FC6ED")
.attr("stroke-width", 1.5)
.attr("stroke-linejoin", "round")
.attr("stroke-linecap", "round")
.selectAll("path")
.data(data.series)
.join("path")
.style("mix-blend-mode", "multiply")
.attr("d", (d) => line(d.values));
svg.call(hover, path);
return svg.node();
}
data = {
const data = d3.tsvParse(
await FileAttachment("merge - leansleft.tsv").text()
);
const columns = data.columns.slice(1);
return {
y: "Average Article Sentiment",
series: data.map((d) => ({
name: d.name.replace(/, ([\w-]+).*/, " $1"),
values: columns.map((k) => +d[k])
})),
dates: columns.map(d3.utcParse("%Y-%m"))
};
}
function hover(svg, path) {
if ("ontouchstart" in document)
svg
.style("-webkit-tap-highlight-color", "transparent")
.on("touchmove", moved)
.on("touchstart", entered)
.on("touchend", left);
else
svg.on("mousemove", moved).on("mouseenter", entered).on("mouseleave", left);
const dot = svg.append("g").attr("display", "none");
dot.append("circle").attr("r", 2.5);
dot
.append("text")
.attr("font-family", "sans-serif")
.attr("font-size", 10)
.attr("text-anchor", "middle")
.attr("y", -8);
function moved(event) {
event.preventDefault();
const pointer = d3.pointer(event, this);
const xm = x.invert(pointer[0]);
const ym = y.invert(pointer[1]);
const i = d3.bisectCenter(data.dates, xm);
const s = d3.least(data.series, (d) => Math.abs(d.values[i] - ym));
path
.attr("stroke", (d) => (d === s ? null : "#ddd"))
.filter((d) => d === s)
.raise();
dot.attr("transform", `translate(${x(data.dates[i])},${y(s.values[i])})`);
dot.select("text").text(s.name);
}
function entered() {
path.style("mix-blend-mode", null).attr("stroke", "#ddd");
dot.attr("display", null);
}
function left() {
path.style("mix-blend-mode", "multiply").attr("stroke", null);
dot.attr("display", "none");
}
}
height = 600
margin = ({top: 20, right: 20, bottom: 30, left: 30})
x = d3.scaleUtc()
.domain(d3.extent(data.dates))
.range([margin.left, width - margin.right])
y = d3
.scaleLinear()
.domain([-1, d3.max(data.series, (d) => d3.max(d.values))])
.nice()
.range([height - margin.bottom, margin.top])
xAxis = g => g
.attr("transform", `translate(0,${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))
line = d3.line()
.defined(d => !isNaN(d))
.x((d, i) => x(data.dates[i]))
.y(d => y(d))
d3 = require("d3@^6.1")
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.
