Published
Edited
Feb 1, 2021
weather = aq.fromCSV(await FileAttachment("weather.csv").text())
{
const width = 280,
height = 180;
// maximum temperature plot
const temp_max = vl.markLine()
.data(weather)
.encode(
vl.x().month("date"),
vl.y().average("temp_max"),
vl.color().fieldN("location")
)
.width(width)
.height(height);
// precipitation plot
const precip = vl.markLine()
.data(weather)
.encode(
vl.x().month("date"),
vl.y().average("precipitation"),
vl.color().fieldN("location")
)
.width(width)
.height(height);
// precipitation plot
const wind = vl.markLine()
.data(weather)
.encode(
vl.x().month("date"),
vl.y().average("wind"),
vl.color().fieldN("location")
)
.width(width)
.height(height);
return vl.hconcat(temp_max, precip, wind)
.data(weather)
.render()
}
{
const width = 280,
height = 180;
const base = vl.markLine()
.data(weather)
.encode(
vl.x().month("date"),
vl.color().fieldN("location")
)
.width(width)
.height(height);
const temp_max = base.encode(vl.y().average("temp_max")),
precip = base.encode(vl.y().average("precipitation")),
wind = base.encode(vl.y().average("wind"));
return vl.hconcat(temp_max, precip, wind).render()
}
{
const width = 280,
height = 180;
return vl.markLine()
.data(weather)
.encode(
vl.x().month("date"),
vl.color().fieldN("location"),
vl.y().average(vl.repeat("column"))
)
.width(width)
.height(height)
.repeat({column: ["temp_max", "precipitation", "wind"]})
.render()
}
{
const width = 120,
height = 120;
return vl.markPoint({filled: true, size: 3, opacity: 0.8})
.data(weather)
.encode(
vl.x().fieldQ(vl.repeat("column")),
vl.y().fieldQ(vl.repeat("row")),
vl.color().fieldN("location")
)
.width(width)
.height(height)
.repeat({
column: ["temp_max", "precipitation", "wind"],
row: ["temp_max", "precipitation", "wind"],
})
.render()
}
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