Public
Edited
Jul 14, 2023
//to read from a csv
diesel_data = d3.csvParse(await FileAttachment("diesel_2@2.csv").text(), d3.autoType)
diesel_data
Plot.plot({
marks: [
Plot.line(diesel_data,
{x: "snapshot_date", y: "cost_per_liter"})
]
})
Plot.plot({
marks: [
Plot.dot(diesel_data, {x: "snapshot_date", y: "cost_per_liter"})
],
marginLeft: 50
})
Plot.plot({
marks: [
Plot.ruleY([0]),
Plot.lineY(diesel_data,
Plot.windowY({x: "snapshot_date", y: "cost_per_liter", k: k, reduce: "mean"}))
],
marginLeft: 50
})
viewof replay = html`<button>Replay`
viewof chart = {
replay;
const svg = d3.create("svg").attr("viewBox", [0, 0, width, height]);
const gradient = DOM.uid();
svg.append("g").call(xAxis);
svg.append("g").call(yAxis);
svg
.append("linearGradient")
.attr("id", gradient.id)
.attr("gradientUnits", "userSpaceOnUse")
.attr("x1", 0)
.attr("y1", height - margin.bottom)
.attr("x2", 0)
.attr("y2", margin.top)
.selectAll("stop")
.data(d3.ticks(0, 1, 10))
.join("stop")
.attr("offset", d => d)
.attr("stop-color", color.interpolator());
const serie = svg
.append("g")
.selectAll("g")
.data(series)
.join("g");
serie
.append("path")
.attr("fill", "none")
.attr("stroke", d => z(d[0].key))
.attr("stroke-width", 1.5)
.attr(
"d",
d3
.line()
.x(d => x(d.date))
.y(d => y(d.value))
);
serie
.append("path")
.attr("font-family", "sans-serif")
.attr("font-size", 10)
.attr("stroke-linecap", "round")
.attr("stroke-linejoin", "round")
.attr("text-anchor", "middle")
.selectAll("text")
.data(d => d);
svg
.append("path")
.datum(data)
.attr("fill", "none")
.attr("stroke", gradient)
.attr("stroke-width", 1.5)
.attr("stroke-linejoin", "round")
.attr("stroke-linecap", "round")
//.attr("d", line);
.attr("d", line)
.call(transition);
const tooltip = svg.append("g");
svg.on("touchmove mousemove", function() {
const { date, value } = bisect(d3.mouse(this)[0]);
tooltip.attr("transform", `translate(${x(date)},${y(value)})`).call(
callout,
`${value.toLocaleString(undefined, {
style: "currency",
currency: "USD"
})}
${date.toLocaleString(undefined, {
month: "short",
day: "numeric",
year: "numeric"
})}`
);
});
svg.on("touchend mouseleave", () => tooltip.call(callout, null));
return svg.node();
}
z = d3.scaleOrdinal(data1.columns.slice(1), d3.schemeCategory10)
function transition(path) {
path.transition()
.duration(7500)
.attrTween("stroke-dasharray", tweenDash)
.on("end", () => { d3.select(this).call(transition); });
}
function tweenDash() {
const l = this.getTotalLength(),
i = d3.interpolateString("0," + l, l + "," + l);
return function(t) { return i(t) };
}
callout = (g, value) => {
if (!value) return g.style("display", "none");
g
.style("display", null)
.style("pointer-events", "none")
.style("font", "10px sans-serif");
const path = g.selectAll("path")
.data([null])
.join("path")
.attr("fill", "white")
.attr("stroke", "black");
const text = g.selectAll("text")
.data([null])
.join("text")
.call(text => text
.selectAll("tspan")
.data((value + "").split(/\n/))
.join("tspan")
.attr("x", 0)
.attr("y", (d, i) => `${i * 1.1}em`)
.style("font-weight", (_, i) => i ? null : "bold")
.text(d => d));
const {x, y, width: w, height: h} = text.node().getBBox();
text.attr("transform", `translate(${-w / 2},${15 - y})`);
path.attr("d", `M${-w / 2 - 10},5H-5l5,-5l5,5H${w / 2 + 10}v${h + 20}h-${w + 20}z`);
}
margin = ({top: 20, right: 30, bottom: 30, left: 40})
x = d3.scaleUtc()
.domain(d3.extent(data, d => d.date))
.range([margin.left, width - margin.right])
bisect = {
const bisect = d3.bisector(d => d.date).left;
return mx => {
const date = x.invert(mx);
const index = bisect(data, date, 1);
const a = data[index - 1];
const b = data[index];
return date - a.date > b.date - date ? b : a;
};
}
height = 500
y = d3.scaleLinear()
.domain(d3.extent(data, d => d.value)).nice()
.range([height - margin.bottom, margin.top])
color = d3.scaleSequential(y.domain(), d3.interpolateTurbo)
xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x).ticks(width / 80).tickSizeOuter(0))
.call(g => g.select(".domain").remove())
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y))
.call(g => g.select(".domain").remove())
.call(g => g.select(".tick:last-of-type text").append("tspan").text(data.y))
line = d3.line()
.curve(d3.curveStep)
.defined(d => !isNaN(d.value))
.x(d => x(d.date))
.y(d => y(d.value))
data = Object.assign(
d3
.csvParse(await FileAttachment("diesel_2@2.csv").text(), d3.autoType)
.map(({ date, cost_per_liter }) => ({ date, value: cost_per_liter })),
{ title: "Price EUR", y: " EUR" }
)
data1 = FileAttachment("diesel_2@2.csv").csv({ typed: true })
series = data1.columns.slice(1).map(key => data.map(({[key]: value, snapshot_date}) => ({key, snapshot_date, value})))
d3 = require("d3@6")
import {legend} from "@d3/color-legend"
viewof measure = Inputs.select(["temperature", "power"], {label: "Measure"})
viewof k = Inputs.range([1, 20], {label: "Smoothing", step: 1})
Plot.plot({
marks: [
Plot.ruleY([0]),
Plot.lineY(power_vs_temperature,
Plot.windowY({x: "date", y: measure, k: k, reduce: "mean", stroke: "city"}))
],
color: {
domain: ["Seattle", "Los Angeles"],
legend: true
},
marginLeft: 50
})
Plot.plot({
marks: [
Plot.dot(power_vs_temperature, {x: "temperature", y: "power", fill: "city"})
],
color: {
domain: ["Seattle", "Los Angeles"],
legend: true
},
marginLeft: 50
})
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.
