legend=swatches({color, marginLeft: margin.left, columns: "180px"})
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(({value}) => value);
svg.append("g")
.call(xAxis);
svg.append("g")
.call(yAxis);
return svg.node();
}
data = d3.csvParse(await FileAttachment("flat@2.csv").text(), d => (d3.autoType(d), {date: (parseTime(d.date_p)), key: d.key, value: +d.value}))
data2 = d3.csvParse(await FileAttachment("flat@2.csv").text(), d => (d3.autoType(d), {date: d3.timeFormat('%m/%d/%Y')(parseTime(d.date_p)), key: d.key, value: +d.value}))
data
parseTime = d3.timeParse("%Y-%b-%d");
keys = Array.from(d3.group(data, d => d.key).keys())
values = Array.from(d3.rollup(data, ([d]) => d.value, d => d.date, d => d.key))
series = d3.stack()
.keys(keys)
.value(([, values], key) => values.get(key))
.order(order)
(values)
order = d3.stackOrderNone
area = d3.area()
.x(d => x(d.data[0]))
.y0(d => y(d[0]))
.y1(d => y(d[1]))
x = d3.scaleUtc()
.domain(d3.extent(data, d => d.date))
.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 = d3.scaleOrdinal()
.domain(keys)
.range(d3.schemeSet1)
keys
color2 = d3.scaleOrdinal().domain(["Water Royalties","Sales to Eskom","Sales to LEC"]).range(['blue','red','green'])
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: 80})
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.
