Unlisted
Edited
May 1
schools_with_primary_aged_students = FileAttachment("schools_with_primary_aged_students.json").json()
sa3 = summarise_by_geography("Statistical Area 3 Name");
greater_capital_city = summarise_by_geography('gcc_name21');
electorates = summarise_by_geography('ced_name24').map(ced => ({
...ced,
...ced_info_with_hex.find(d => d.Division == ced.name)
}))
map_scale_electorates = {
const access_values = map_data_electorates.features.filter(f => f.properties.AREASQKM > 0 && f.properties.places_per_student).map(f => Number.parseFloat(f.properties.places_per_student));
const extent = d3.extent(access_values);
return d3.scaleDiverging()
.domain([extent[0], extent[1] / 2, extent[1]])
.interpolator(d3.interpolateRdBu)
.clamp(true);
}
map_data_electorates = {
const new_data = JSON.parse(JSON.stringify(ced_2024_aust_gda2020));
new_data.features.forEach(f => {
const ced = electorates.find(e => e.name === f.properties.CED_NAME24);
if (!ced) return f;
f.properties = {
...f.properties,
...ced
}
});
return new_data;
}
map_scale_sa3s = {
const access_values = map_data_sa3s.features.map(f => Number.parseFloat(f.properties.places_per_student));
const extent = d3.extent(access_values);
return d3.scaleDiverging()
.domain([extent[0], extent[1] / 2, extent[1]])
.interpolator(d3.interpolateRdBu)
.clamp(true);
}
sa3_2021_aust_gda2020 = FileAttachment("SA3_2021_AUST_GDA2020@1.json").json()
ced_2024_aust_gda2020 = FileAttachment("CED_2024_AUST_GDA2020.json").json()
2025-04-15-ced_info_with_hex.csv
Type Table, then Shift-Enter. Ctrl-space for more options.
sal_2021_aust_gda2020 = FileAttachment("SAL_2021_AUST_GDA2020.json").json()
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