Published
Edited
Jul 29, 2020
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chart = {
const svg = d3.create("svg").attr("viewBox", [0, 0, width, height]);
// The bars themselves
svg
.append("g")
.selectAll("g")
.data(series)
.join("g")
// Each indivdual bar
.attr("fill", (d, i) => barColours[i % 3])
.classed("bar-group",true)
.selectAll("rect")
.data(d => d)
.join("rect")
.attr("x", d => x(d[0]))
.attr("y", (d, i) => y(d.data["Police force"]))
.attr("width", d => x(d[1]) - x(d[0]))
.attr("height", y.bandwidth())
// National average line
svg
.append("line")
.attr("x1", x(medianTotalCed))
.attr("y1", graph.margin.top + 2)
.attr("x2", x(medianTotalCed))
.attr("y2", height - graph.margin.bottom)
.style("stroke-width", 1)
.style("stroke-dasharray", ("1,2"))
.style("stroke", colours.secondary50)
.style("fill", "none")
// "Average" text
svg
.append("text")
.attr("x", x(medianTotalCed) + 5)
.attr("y", height - graph.margin.bottom - 5)
.text("Average")
.attr("text-anchor", "start")
.attr("font-family", graph.font)
.attr("font-size", graph.fontSize)
.style("fill", colours.secondary)
// Text - discharged
svg
.append("g")
.attr("fill", colours.primary)
.attr("text-anchor", "start")
.attr("font-family", graph.font)
.attr("font-size", graph.fontSize)
.selectAll("text")
.data(series[1])
.join("text")
.attr("x", d => x(d[0]))
.attr("y", (d, i) => y(d.data['Police force']) + y.bandwidth() / 2)
.attr("dy", "0.35em")
.attr("dx", 5)
.text(d => d3.format(".1f")(d[0]))
// Text - unknown
svg
.append("g")
.attr("fill", colours.primary)
.attr("text-anchor", "start")
.attr("font-family", "sans-serif")
.attr("font-size", graph.fontSize)
.selectAll("text")
.data(series[1])
.join("text")
.attr("x", d => x(d[0]))
.attr("y", (d, i) => y(d.data['Police force']) + y.bandwidth() / 2)
.attr("dy", "0.35em")
.attr("dx", 5)
.text(d => d3.format(".1f")(d[0]))
// Text - total
svg
.append("g")
.attr("fill", colours.primary)
.attr("text-anchor", "start")
.attr("font-family", graph.font)
.attr("font-size", graph.fontSize)
.selectAll("text")
.data(ced_per_100_by_force.sort((a,b) => b.Total - a.Total))
.join("text")
.attr("x", d => x(d.Total))
.attr("y", (d, i) => y(d['Police force']) + y.bandwidth() / 2)
.attr("dy", "0.35em")
.attr("dx", 5)
.text(d => d3.format(".1f")(d.Total))
.call(text => text.filter(d => d.Total > 40)
.text(d => d3.format(".1f")(d.Total))
.attr("x", width - 10)
.attr("fill", "white")
.attr("text-anchor", "end"));
// Draw axes
svg.append("g").call(xAxis);
svg.append("g").call(yAxis);
return svg.node()
}
getCedPer100ByForce = force => {
let forcePop = getPopByForce(force);
let forceStats = getForceStats(force);
return forceStats["Total"] / forcePop;
}
getCedPer100ByForce("Greater Manchester")
getCedLeaderboardPosition = (name) => cedLeaderBoard.findIndex((f) => f.force === name) + 1
getCedLeaderboardPosition("Greater Manchester")
cedLeaderBoard = forces.map((force) => {
if(getForceStats(force)) {
return { force: force, per100: getCedPer100ByForce(force) }
} else {
return { force: force, per100: 0 }
}
}).sort((a, b) => {
return b.per100 - a.per100
})
getForceStats = (force) => ced_by_region_recent.find(f => f["Police force"] === force)
getPopByForce = force => {
let pop = officerCounts.find(p => p["Force/Region"] === force);
if (pop == undefined) {
return NaN;
} else {
// Using March as closer to the reporting period for the taser stats
return pop["March 2019"] / 100;
}
}
// This object provides the stacked bars
series = d3
.stack()
.keys(['Total discharge', 'Not stated', 'Total non-discharge'])(ced_per_100_by_force)
.map(d => (d.forEach(v => (v.key = d.key)), d))
colour = d3.scaleOrdinal(colours).domain(ced_per_100_by_force.columns)
format = x.tickFormat(20, series.format)
// Transition function to shuffle bars around https://observablehq.com/@d3/bar-chart-race-explained
// Needs to take a transition and returns an ordered transition between the current data sort and the previous.
bar = f=>f
height = Math.ceil((ced_per_100_by_force.length + 0.1) * graph.barHeight) + graph.margin.top + graph.margin.bottom
// Creates the national average stat
function add_average(e) {
let cols = e.columns;
let avg = e.reduce((t, v) => {
cols.forEach(col => {
t[col] += v[col] / e.length;
});
return t;
});
avg["Police force"] = "National Average";
e.push(avg);
return e;
}
averageTotalCed = ced_per_100_by_force.reduce((acc, val) => {
return acc + val['Total']
}, 0) / ced_per_100_by_force.length
medianTotalCed = d3.median(ced_per_100_by_force.map((f) => f.Total))
barColours = [colours.primary, colours.primary50, colours.primary00]
import { swatches } from "@d3/color-legend"
import {
getStats,
colours,
graph,
d3
} from '@resistancelab/resistance-lab-defaults'
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