Developer, journalist
Published
Edited
Apr 2, 2020
6 stars
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(({ key }) => key);
svg.append("g").call(xAxis);
svg.append("g").call(yAxis);
svg
.append('text')
.text('Hurricanes Harvey,')
.style('font-size', '15px')
.attr('x', `${x(dateParse('9/20/17'))}px`)
.attr('y', `260px`);
svg
.append('text')
.text('Irma and Maria')
.style('font-size', '15px')
.attr('x', `${x(dateParse('9/20/17'))}px`)
.attr('y', `280px`);
svg
.append('text')
.style('text-anchor', 'end')
.text('COVID-19')
.style('font-size', '15px')
.attr('x', `${x(dateParse('3/13/20')) - 2}px`)
.attr('y', `120px`);
svg
.append('text')
.style('text-anchor', 'end')
.text('emergency declared')
.style('font-size', '15px')
.attr('x', `${x(dateParse('3/13/20')) - 2}px`)
.attr('y', `140px`);
return svg.node();
}
data = Object.assign(
d3
.csvParse(
await FileAttachment(
"SAMHSA DDH calls.xlsx - Weekly 01.01.17 to 03.27.20.csv"
).text(),
({ Weeks, Calls, Texts }) => ({
date: dateParse(Weeks.split(' - ')[0]),
Calls: +Calls,
Texts: +Texts
})
)
.filter(d => d.date !== null),
{ y: "", columns: ['date', 'Calls', 'Texts'] }
)
series = d3.stack().keys(data.columns.slice(1))(data)
area = d3.area()
.x(d => x(d.data.date))
.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]))])
.range([height - margin.bottom, margin.top])
color = d3
.scaleOrdinal()
.domain(data.columns.slice(1))
.range(['#04284b', '#4FA2ff'])
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 = 600
margin = ({ top: 20, right: 0, bottom: 30, left: 40 })
d3 = require("d3@5")
import {swatches} from "@d3/color-legend"
dateParse = d3.timeParse("%m/%d/%y")
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.
