chartBug = {
const svg = d3.create("svg").attr("viewBox", [0, 0, width, height]);
const zx = x.copy(); // x, but with a new domain.
const zy = y.copy(); // x, but with a new domain.
const line = d3
.line()
.x(d => zx(d.date))
.y(d => y(d.close));
const path = svg
.append("path")
.attr("fill", "none")
.attr("stroke", "steelblue")
.attr("stroke-width", 1.5)
.attr("stroke-miterlimit", 1)
.attr("d", line(data));
const gx = svg.append("g").call(xAxis, zx);
const gy = svg.append("g").call(yAxis, y);
return Object.assign(svg.node(), {
update(step) {
const partialData = [];
for (let i = 0; i < step; i++) {
partialData.push(data[i]);
}
const t = svg.transition().duration(50);
zx.domain(d3.extent(partialData, d => d.date));
gx.transition(t).call(xAxis, zx);
zy.domain([0, d3.max(partialData, d => d.close)]);
gy.transition(t).call(yAxis, zy);
path.transition(t).attr("d", line(data));
return t.end();
}
});
}
{
replay2;
for (let i = 0, n = data.length; i < n; ++i) {
chartBug.update(i);
yield i;
}
}
replay, html`<svg viewBox="0 0 ${width} ${height}">
${d3.select(svg`<path d="${line(data)}" fill="none" stroke="steelblue" stroke-width="1.5" stroke-miterlimit="1" stroke-dasharray="0,1"></path>`).call(reveal).node()}
${d3.select(svg`<g>`).call(xAxis).node()}
${d3.select(svg`<g>`).call(yAxis).node()}
</svg>`
reveal = path => path.transition()
.duration(5000)
.ease(d3.easeLinear)
.attrTween("stroke-dasharray", function() {
const length = this.getTotalLength();
return d3.interpolate(`0,${length}`, `${length},${length}`);
})
html`<svg viewBox="0 0 ${width} ${height}">
<path d="${line(data)}" fill="none" stroke="steelblue" stroke-width="1.5" stroke-miterlimit="1" stroke-dasharray="${lineLength * t},${lineLength}"></path>
${d3.select(svg`<g>`).call(xAxis).node()}
${d3.select(svg`<g>`).call(yAxis).node()}
</svg>`
lineLength = svg`<path d="${line(data)}">`.getTotalLength()
strokeDasharray = d3.interpolate(`0,${lineLength}`, `${lineLength},${lineLength}`)
strokeDasharray(t)
ramp(d3.interpolateRgb("steelblue", "orange"))
ramp(d3.interpolateRgb.gamma(2.2)("steelblue", "orange"))
{
replay2;
for (let i = 0, n = 300; i < n; ++i) {
yield i;
}
}
{
replay2;
const path = svg`<path d="${line(data)}" fill="none" stroke="steelblue" stroke-width="1.5" stroke-miterlimit="1">`;
const chart = html`<svg viewBox="0 0 ${width} ${height}">
${path}
${d3.select(svg`<g>`).call(xAxis).node()}
${d3.select(svg`<g>`).call(yAxis).node()}
</svg>`;
for (let i = 0, n = 300; i < n; ++i) {
const t = (i + 1) / n;
path.setAttribute("stroke-dasharray", `${t * lineLength},${lineLength}`);
yield chart;
}
}
chart = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height]);
const zx = x.copy(); // x, but with a new domain.
const line = d3.line()
.x(d => zx(d.date))
.y(d => y(d.close));
const path = svg.append("path")
.attr("fill", "none")
.attr("stroke", "steelblue")
.attr("stroke-width", 1.5)
.attr("stroke-miterlimit", 1)
.attr("d", line(data));
const gx = svg.append("g")
.call(xAxis, zx);
const gy = svg.append("g")
.call(yAxis, y);
return Object.assign(svg.node(), {
update(domain) {
const t = svg.transition().duration(750);
zx.domain(domain);
gx.transition(t).call(xAxis, zx);
path.transition(t).attr("d", line(data));
}
});
}
update = chart.update(timeframe)
data = d3.csvParse(await FileAttachment("aapl-bollinger.csv").text(), d3.autoType)
line = d3.line().x(d => x(d.date)).y(d => y(d.close))
x = d3.scaleUtc()
.domain(d3.extent(data, d => d.date))
.range([margin.left, width - margin.right])
y = d3.scaleLinear()
.domain([0, d3.max(data, d => d.upper)])
.range([height - margin.bottom, margin.top])
xAxis = (g, scale = x) => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(scale).ticks(width / 80).tickSizeOuter(0))
yAxis = (g, scale = y) => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(scale).ticks(height / 40))
.call(g => g.select(".domain").remove())
height = 240
margin = ({top: 20, right: 30, bottom: 30, left: 40})
d3 = require("d3@6")
import {Scrubber} from "@mbostock/scrubber"
import {ramp} from "@mbostock/color-ramp"
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.
