Science journalist / data enthusiast. @NikoMcCarty on twitter.
Published
Edited
Feb 13, 2021
2 forks
chart = {
const svg = d3.create("svg").attr("viewBox", [0, 0, width, height]);
svg
.append("g")
.selectAll("path")
.data(series)
.join("path")
.attr("fill", ({ key }) => color(key))
.attr("d", area)
.append("title")
.text(({ key }) => key);
svg.append("g").call(xAxis);
return svg.node();
}
data = Object.assign(
d3.csvParse(
await FileAttachment("federal_outlays_function.csv").text(),
d3.autoType
)
)
columns = data.columns.slice(1)
series = d3
.stack()
.keys(columns)
.offset(d3.stackOffsetWiggle)
.order(d3.stackOrderInsideOut)(data)
area = d3
.area()
.x(d => xScale(d.data.date))
.y0(d => yScale(d[0]))
.y1(d => yScale(d[1]))
xScale = d3
.scaleTime()
.domain(d3.extent(data, d => d.date))
.range([margin.left, width - margin.right])
yScale = d3.scaleLinear()
.domain([d3.min(series, d => d3.min(d, d => d[0])), d3.max(series, d => d3.max(d, d => d[1]))])
.range([height - margin.bottom, margin.top])
color = d3.scaleOrdinal()
.domain(data.columns.slice(1))
.range(d3.schemeCategory10)
xAxis = g =>
g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(
d3
.axisBottom(xScale)
.tickFormat(d3.format(".0f"))
.tickSizeOuter(0)
)
.call(g => g.select(".domain").remove())
margin = ({
top: 0,
right: 20,
bottom: 30,
left: 20
})
height = 500
d3 = require("d3@6")
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.
