Data Visualization Developer at The Associated Press
Published
Edited
Aug 17, 2022
Mass Shootings in the United States
viewof date = Scrubber(d3.utcWeek.every(2).range(...d3.extent(data, d => d.date)), {format: d3.utcFormat("%Y %b %-d"), loop: false})
chart.update(date)
chart = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, 960, 600]);
svg.append("path")
.datum(topojson.merge(us, us.objects.lower48.geometries))
.attr("fill", "#ddd")
.attr("d", d3.geoPath());
svg.append("path")
.datum(topojson.mesh(us, us.objects.lower48, (a, b) => a !== b))
.attr("fill", "none")
.attr("stroke", "white")
.attr("stroke-linejoin", "round")
.attr("d", d3.geoPath());
const g = svg.append("g")
.attr("fill","steelblue")
.attr("stroke", "none")
const dots = g.selectAll("circle")
.data(data)
.join("circle")
.attr("transform", d => `translate(${d})`)
.attr("opacity", .5)
let prevDate = -Infinity
let yearText = 1982
const textBlock = svg.append("g")
.attr("font-family", "Poppins")
.attr("font-weight", "bold")
const year = textBlock.append("text")
.attr("x", 800)
.attr("y", 50)
.attr("font-size", "72px")
const counter = svg.append("text")
.attr("x", 800)
.attr("y", 90)
.attr("fill", "red")
.attr("font-size", "30px")
return Object.assign(svg.node(), {
update(date) {
dots
.filter(d => d.date > prevDate && d.date <= date)
.transition().attr("r", 10)
.transition().duration(500).ease(d3.easeCubic)
.attr("r", 5)
.transition().attr("fill", "steelblue")
dots
.filter(d => d.date <= prevDate && d.date > date)
.transition().attr("fill", "red")
.transition().duration(500)
.attr("r", 0);
prevDate = date
year.text(date.getFullYear())
counter.text(`${(yearCounts[date.getFullYear()] || "")} shootings`)
}
})
}
parseDate = d3.utcParse("%m/%d/%y")
parseDate2 = d3.utcParse("%Y-%m-%d")
parseDate3 = d3.utcParse("%m/%d/%Y")
projection = d3.geoAlbersUsa().scale(1280).translate([480, 300])
topojson = require("topojson-client@3")
us = {
const us = await d3.json("https://cdn.jsdelivr.net/npm/us-atlas@1/us/10m.json");
us.objects.lower48 = {
type: "GeometryCollection",
geometries: us.objects.states.geometries.filter(d => d.id !== "02" && d.id !== "15")
};
return us;
}
data = (await FileAttachment("Mother Jones - Mass Shootings Database, 1982 - 2022 - Sheet1.json").json())
.map(d => {
const p = projection({0: d.lng, 1: d.lat})
if (d.date.length === 10) {
p.date = parseDate2(d.date)
} else if (d.date.length > 8) {
p.date = parseDate3(d.date)
} else {
p.date = parseDate(d.date)
}
return p
})
raw = (await FileAttachment("Mother Jones - Mass Shootings Database, 1982 - 2022 - Sheet1.json").json())
yearCounts = raw
.map(d => d.year).reduce((a,b) => {
a[b] = (a[b] || 0) + 1
return a
}, {})
import {Scrubber} from "@mbostock/scrubber"
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.