I love to build dataviz for insight discovery. I also love to put technology to the service of humanity
Public
Edited
Oct 11, 2024
Inputs.table(penguins)
navio(penguins)
vl.markCircle()
.encode(
vl.y().fieldN("row_number").axis(null),
vl.x().fieldQ("culmen_length_mm")
)
.data(penguins.map( (d,i)=> ({row_number: i, ...d})))
.height(400)
.render()
vl
.markBar()
.encode(
vl.y().fieldN("island"),
vl.color().fieldN("island"),
vl.x().mean("culmen_length_mm")
)
.data(penguins.map((d, i) => ({ row_number: i, ...d })))
.height(400)
.render()
Inputs.table(
d3.rollup(
penguins,
(v) => d3.mean(v, (d) => d.culmen_length_mm),
(d) => d["island"]
)
)
vl
.markCircle({tooltip: true})
.encode(
vl.y().fieldN("row_number").axis(null),
vl.x().fieldQ("culmen_length_mm"),
vl.row().field("island"),
vl.color().fieldN("species"),
)
.data(
d3
.groups(penguins, (d) => d.island)
.map(([g, v]) => v.map((d, i) => ({ row_number: i, ...d })))
.flat()
)
.height(100)
.render()
{
const base = vl.markCircle({ tooltip: true }).encode(vl.y().fieldN("island"));
const ci = base
.markErrorbar({ extent: "iqr", color: "red" })
.encode(vl.x().fieldQ("culmen_length_mm").scale({ zero: false }));
const avg = base
.markPoint({ color: "red" })
.encode(vl.x().median("culmen_length_mm").scale({ zero: false }));
const allPoints = base.encode(vl.x().fieldQ("culmen_length_mm"));
return vl.layer([allPoints, avg, ci]).data(penguins).height(100).render();
}
{
const base = vl.markBar({ tooltip: true }).encode(vl.y().fieldN("island"));
const ci = base
.markErrorbar({ extent: "iqr", color: "firebrick" })
.encode(vl.x().fieldQ("culmen_length_mm"));
const avg = base
.markPoint({ color: "firebrick" })
.encode(vl.x().median("culmen_length_mm"));
const allPoints = base.encode(vl.x().median("culmen_length_mm"));
return vl.layer([allPoints, avg, ci]).data(penguins).height(100).render();
}
import {navio} from "@john-guerra/navio"
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