line = d3.line()
.defined(d => !isNaN(d['Value']))
.x(d => x(d.date))
.y(d => y(d['Value']))
d3 = require('d3@6')
full_data = {
let x = await d3.csv('https://datahub.io/core/population/r/population.csv', d3.autoType);
//x = d3.filter(x, d => d['Country Name'] === 'World')
x = x.sort((a, b) => d3.ascending(a['Year'], b['Year']))
return x
}
data = {
let x = d3.filter(full_data, d => d['Country Name'] === country)
x = x.map(d => ({ ...d, date: new Date(d['Year'], 0)}))
return x.slice(-30)
}
color = "steelblue"
height = 500
margin = ({top: 30, right: 20, bottom: 30, left: 60})
x = d3.scaleUtc()
//.domain(d3.range(data.length))
.domain(d3.extent(data, d => d.date)).nice()
.range([margin.left, width - margin.right])
y = d3.scaleLinear()
.domain([0, d3.max(data, d => d['Value'])]).nice()
.range([height - margin.bottom, margin.top])
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).ticks().tickFormat(d3.format('~s')))
.call(g => g.select(".domain").remove())
.call(g => g.append("text")
.attr("x", -margin.left)
.attr("y", 10)
.attr("fill", "currentColor")
.attr("text-anchor", "start")
.text(data.y))
d3.extent(data, d => new Date(d['Year'], 0))
import {select} from "@jashkenas/inputs"
[ ...d3.group(full_data, d => d['Country Name']).keys()]
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.
