Dataviz at Office for National Statistics (UK)
colorScale = d3
.scaleOrdinal(d3.schemeCategory10)
.domain(chartData.map((d) => d.cat2Name))
chartData = {
let result = [];
for (let cat1 of allClassifications[inputClassification].categories) {
if (cat1.id == "-8") continue;
censusData[inputClassification + ".json"][cat1.id][
outputClassification
].count.forEach((d, i) => {
const cat2Name =
outputClassificationsDetails[outputClassification].categories[i].label;
result.push({ cat1Name: cat1.label, cat2Name, value: d });
});
}
return result;
}
inputClassifications = FileAttachment("input-classifications.json").json()
outputClassifications = FileAttachment("output-classifications.json").json()
allClassifications = FileAttachment("all-classifications.json").json()
censusData = FileAttachment("census-data.json").json()
outputClassificationsDetails = FileAttachment(
"output-classification-details-dict.json"
).json()
import { Legend, Swatches } from "@d3/color-legend"
import { wrap } from "@jtrim-ons/svg-text-wrapping"
labelplacer = import("labelplacer@0.0.0")
leaderlines = import("leaderlines@0.0.1")
rectOpacity = 0.5
htl.html`
<style>
.legend-swatch {
width: 15px;
height: 15px;
margin-right: 0.5em;
flex-shrink: 0;
opacity: ${rectOpacity};
}
.legend-item {
font: 12px sans-serif;
display: flex;
align-items: center;
}
.legend {
display: grid;
grid-template-columns: repeat(5, 1fr);
grid-column-gap: 5px;
grid-row-gap: 5px;
}
</style>
`
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