Stories with data, visuals & code at CNN.
Published
Edited
Jun 4, 2021
Importers
html`<style>
.tick {
font-size: 12px;
color: #444;
font-family:'Benton Gothic'
}
path.year2020 {
stroke: #ec8431;
stroke-width: 1.5;
}
h4 {
line-height: 1.5em;
padding: 20px 0px 20px 0px;
}
</style>`
data = {
const timeParse = d3.timeParse("%Y-%m-%d")
const raw = d3.csvParse(await FileAttachment("fireworks_by_date.csv").text(), function (d) {
d.date = timeParse(d.date)
d.call = +d.calls
return d
})
const grouped = Array.from(d3.group(raw, d => d.date.getFullYear()), d => ({
name: d[0],
values: d3.cumsum(d[1], d => d.calls),
dates: d[1].map(d => d.date),
}))
// use latest complete year for dates
const dates = grouped[grouped.length - 2].dates
return {
y: "Fireworks complaints to LAPD",
series: grouped.filter(d => d.name > 1958),
dates: dates,
}
}
height = 500
margin = ({top: 20, right: 20, bottom: 30, left: 30})
x = d3.scaleUtc()
.domain(d3.extent(data.dates))
.range([margin.left, width - margin.right])
y = d3.scaleLinear()
.domain([0, d3.max(data.series, d => d3.max(d.values))]).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))
.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))
line = d3.line()
.curve(d3.curveStep)
.x((d, i) => x(data.dates[i]))
.y(d => y(d))
d3 = require("d3@5", "d3-array@2")
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.
