viewof replay = html`<button>Replay`
chart = {
const svg = d3.select(DOM.svg(width, height));
svg.append("g")
.call(xAxis);
svg.append("g")
.call(yAxis);
svg.append("path")
.datum(data)
.attr("fill", "none")
.attr("stroke", "orange")
.attr("stroke-width", 3)
.attr("d", line)
.call(transition);
return svg.node()
}
margin = ({top:20, right:30, bottom:30, left:40})
x = d3.scaleTime()
.domain(d3.extent(data, d => d.date))
.range([margin.left, width - margin.right])
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,${height - margin.bottom})`)
.call(d3.axisBottom(x).ticks(width / 80).tickSizeOuter(0))
yAxis = g => g
.attr("transform", `translate(${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.value))
.x(d => x(d.date))
.y(d => y(d.value))
function transition(path) {
path.transition()
.duration(60000)
.attrTween("stroke-dasharray", tweenDash)
.on("end", () => { d3.select(this).call(transition); });
}
function tweenDash() {
const l = this.getTotalLength(),
i = d3.interpolateString("0," + l, l + "," + l);
return function(t) { return i(t) };
}
data = Object.assign(d3.csvParse(await FileAttachment("mean_sent_day.csv").text(), d3.autoType).map(({date, close}) => ({date, value: close})))
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.
