chart = {
const svg = d3.select(DOM.svg(width, height));
const tip = svg.append('g');
const tipRect = tip.append("rect");
const tipText = tip.append('text').style("text-anchor", "middle");
svg
.append("g")
.selectAll("g")
.data(data_year)
.join("g")
.attr("transform", d => `translate(${x0(d[groupKey])},0)`)
.selectAll("rect")
.data(d => keys.map(key => ({ key, value: d[key] })))
.join("rect")
.attr("x", d => x1(d.key))
.attr("y", d => y(d.value))
.attr("width", x1.bandwidth())
.attr("height", d => y(0) - y(+d.value))
.attr("fill", d => color(d.key))
svg.append("g").call(xAxis);
svg.append("g").call(yAxis);
svg.append("g").call(legend);
return svg.node();
}
md`## Appendix
`
keys = raw_data.columns.slice(1, 3)
groupKey = raw_data.columns[7]
legend = svg => {
const g = svg
.attr("transform", `translate(${width},0)`)
.attr("text-anchor", "end")
.attr("font-family", "sans-serif")
.attr("font-size", 18)
.selectAll("g")
.data(
color
.domain()
.slice()
.reverse()
)
.join("g")
.attr("transform", (d, i) => `translate(0,${i * 26})`);
g.append("rect")
.attr("x", -19)
.attr("width", 19)
.attr("height", 19)
.attr("fill", color);
g.append("text")
.attr("x", -24)
.attr("y", 9.5)
.attr("dy", "0.35em")
.text(d => d);
}
d3 = require("d3@6", "d3-array@2")
d3_5 = require('d3@5')
_ = require("lodash")
import { select } from "@jashkenas/inputs"
height = 500
margin = ({ top: 10, right: 10, bottom: 20, left: 40 })
x0 = d3
.scaleBand()
.domain(data_year.map(d => d[groupKey]))
.rangeRound([margin.left, width - margin.right])
.paddingInner(0.1)
x1 = d3
.scaleBand()
.domain(keys)
.rangeRound([0, x0.bandwidth()])
.padding(0.01)
y = d3
.scaleLinear()
.domain([0, d3.max(data_year, d => d3.max(keys, key => d[key]))])
.nice()
.rangeRound([height - margin.bottom, margin.top])
color = d3
.scaleOrdinal()
.range([
"#d0743c",
" #800000",
])
xAxis = g =>
g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x0).tickSizeOuter(0))
.call(g => g.select(".domain").remove())
yAxis = g =>
g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y).ticks(null, "s"))
.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_year.y)
)
import {slider } from "@jashkenas/inputs"
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.
