Data Viz | Maps | Sci Comm
Published
Edited
Jul 28, 2020
// slice for stacked area chart
// series = d3.stack().keys(data.columns.slice(1))(data)
printTable(data.slice(0, 10))
chart = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height]);
svg.append("path")
.datum(data)
.attr("fill", "steelblue")
.attr("d", area);
svg.append("g")
.call(xAxis);
svg.append("g")
.call(yAxis);
return svg.node();
}
x = d3.scaleUtc()
.domain(d3.extent(data, d => d.date))
.range([margin.left, width - margin.right])
y = d3.scaleLinear()
.domain([0, d3.max(data, d => d.totalcases)])
.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))
.call(g => g.select(".domain").remove())
area = d3.area()
.x(d => x(d.date))
.y1(d => y(d.totalcases))
.y0(d => y(0))
.curve(d3["curveStepAfter"])
d3 = require("d3@5")
import {fromColumns, printTable} from '@uwdata/data-utilities'
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.
