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Informal voting in the 2019/2022 Australian federal elections
suburbInformality2022 = aq
.from(await db2022.query(suburbQuery))
.derive({
PostCode: (d) => aq.op.parse_int(d.PostCode)
})
.join(incomeBySuburb2017, ["PostCode"])
fastDivisions = {
const map = new Map();
for (const division of selectedElection.divisionInformality) {
map.set(division.DivisionNm.toLowerCase(), division);
}
return map;
}
function getTooltip(d) {
const div = fastDivisions.get(d.properties.electorateName.toLowerCase());
return `${d.properties.electorateName}\n${div.InformalPercent.toFixed(
1
)}% informal\n${div.InformalSwing.toFixed(1)}% informal swing`;
}
getTooltip({ properties: { electorateName: "Blaxland" } })
plotInformalityDistribution = ({ data }) =>
addTooltips(
Plot.plot({
color: {
type: "linear",
domain: [0, INFORMALITY_SCALE_MAX],
scheme: "viridis",
label: "Informal voting (%) →",
legend: true
},
x: {
label: "Informal (%) →",
tickFormat: "%",
transform: (d) => d / 100
},
marks: [
Plot.rectY(
data,
Plot.binX(
{ y: "count" },
{
x: "InformalPercent",
fill: "InformalPercent",
title: (d) =>
`${d.SuburbNm ? d.SuburbNm + "\n" : ""}${d.DivisionNm} (${
d.StateAb
})\nInformal: ${(d.InformalPercent || 0).toFixed(
1
)}%\nInformal swing: ${d.InformalSwing}%`
}
)
)
]
})
)
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.
