Family first. People before programs. Basketball too.
chart = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height]);
const barGroups = svg.append("g")
.selectAll("g")
.data(series)
.join("g")
.attr("fill", d => color(d.key));
barGroups.selectAll("rect")
.data(d => d)
.join("rect")
.attr("x", (d, i) => x(d.data.name))
.attr("y", d => y(d[1]))
.attr("height", d => y(d[0]) - y(d[1]))
.attr("width", x.bandwidth())
.append("title")
.text(d => `${d.data.name} ${d.key}
${formatValue(d.data[d.key])}`);
svg.append("g")
.call(xAxis);
svg.append("g")
.call(yAxis);
return svg.node();
}
series = d3
.stack()
.keys(data.columns.slice(1))(data)
.map(d => (d.forEach(v => (v.key = d.key)), d))
x = d3
.scaleBand()
.domain(data.map(d => d.name))
.range([margin.left, width - margin.right])
.padding(0.1)
y = d3.scaleLinear()
.domain([0, d3.max(series, d => d3.max(d, d => d[1]))])
.rangeRound([height - margin.bottom, margin.top])
color = d3
.scaleOrdinal()
.domain(series.map(d => d.key))
.range([minColor, maxColor])
.unknown("#ccc")
minColor = "#E57872"
maxColor = "#48B0AA"
xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x).tickSizeOuter(0))
.call(g => g.selectAll(".domain").remove())
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y).ticks(null, "s"))
.call(g => g.selectAll(".domain").remove())
formatValue = x => isNaN(x) ? "N/A" : x.toLocaleString("en")
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.
