chart = {
const width = 928;
const height = 600;
const marginTop = 20;
const marginRight = 30;
const marginBottom = 30;
const marginLeft = 40;
const x = d3.scaleUtc()
.domain(d3.extent(data, d => d.date))
.range([marginLeft, width - marginRight]);
const y = d3.scaleLinear()
.domain(d3.extent(data, d => d.value)).nice()
.range([height - marginBottom, marginTop]);
const max = d3.max(data, d => Math.abs(d.value));
// Create a symmetric diverging color scale.
const color = d3.scaleSequential()
.domain([max, -max])
.interpolator(d3.interpolateRdBu);
const svg = d3.create("svg")
.attr("width", width)
.attr("height", height)
.attr("viewBox", [0, 0, width, height])
.attr("style", "max-width: 100%; height: auto;");
svg.append("g")
.attr("transform", `translate(0,${height - marginBottom})`)
.call(d3.axisBottom(x).ticks(width / 80))
.call(g => g.select(".domain").remove());
svg.append("g")
.attr("transform", `translate(${marginLeft},0)`)
.call(d3.axisLeft(y).ticks(null, "+"))
.call(g => g.select(".domain").remove())
.call(g => g.selectAll(".tick line")
.clone()
.attr("x2", width - marginRight - marginLeft)
.attr("stroke-opacity", d => d === 0 ? 1 : 0.1))
.call(g => g.append("text")
.attr("fill", "#000")
.attr("x", 5)
.attr("y", marginTop)
.attr("dy", "0.32em")
.attr("text-anchor", "start")
.attr("font-weight", "bold")
.text("Anomaly (°C)"));
svg.append("g")
.attr("stroke", "#000")
.attr("stroke-opacity", 0.2)
.selectAll()
.data(data)
.join("circle")
.attr("cx", d => x(d.date))
.attr("cy", d => y(d.value))
.attr("fill", d => color(d.value))
.attr("r", 2.5);
return svg.node();
}
data = {
const data = [];
// https://data.giss.nasa.gov/gistemp/tabledata_v3/GLB.Ts+dSST.csv
await d3.csvParse(await FileAttachment("temperatures.csv").text(), (d, i, columns) => {
for (let i = 1; i < 13; ++i) { // pivot longer
data.push({date: new Date(Date.UTC(d.Year, i - 1, 1)), value: +d[columns[i]]});
}
});
return data;
}
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.
