chart = {
//TODO: (1) Specify order, (2) connect color to emotion, (3) gradient from opacity 0.2 to 1
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height]);
let defs = svg.append('defs');
for(let key of data.columns.slice(1)) {
let gradient = defs.append('linearGradient')
.attr('id', key)
.attr('x1', 0)
.attr('x2', 0)
.attr('y1', 0)
.attr('y2', 1)
gradient.append('stop')
.attr('stop-color', color(key))
.attr('offset', '0');
gradient.append('stop')
.attr('stop-color', color(key))
.attr('stop-opacity', 0.6)
.attr('offset', '15');
}
svg.append("g")
.selectAll("path")
.data(series)
.join("path")
// .attr("fill", ({key}) => color(key))
.attr("fill", ({key}) => `url(#${key})`)
.attr("d", area)
.append("title")
.text(({key}) => key);
svg.append("g")
.call(xAxis);
// svg.append("g")
// .call(yAxis);
return svg.node();
}
data = Object.assign(d3.csvParse(await FileAttachment("wuthering-heights-simple-ordered.csv").text(), d3.autoType))
series = d3.stack().keys(data.columns.slice(1))(data)
area = d3.area()
.curve(d3.curveBasis)
.x(d => x(d.data.chapter))
.y0(d => y(d[0]))
.y1(d => y(d[1]))
x = d3.scaleLinear()
.domain(d3.extent(data, d => d.chapter))
.range([margin.left, width - margin.right])
y = d3.scaleLinear()
.domain([0, d3.max(series, d => d3.max(d, d => d[1]))]).nice()
.range([height - margin.bottom, margin.top])
color.domain()
data.columns
color = d3.scaleOrdinal()
.domain(data.columns.slice(1))
// .range(d3.schemeCategory10)
.range(['#eb3c39','#ef673c','#eddb58','#d7e489','#6fc874','#00b4df','#0775ba','#64368f'])
xAxis = g => g
.attr("transform", `translate(0,${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))
height = 500
margin = ({top: 20, right: 30, bottom: 30, left: 40})
d3 = require("d3@6")
import {swatches} from "@d3/color-legend"
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.
