VegaLite.jl Grouped Bar Chart with Labels

New to Julia
,
2

This is a working translation of the stackoverflow solution:

bplot = dataset("population") |>
@vlplot(
    transform=[
        {filter="datum.year == 2000"},
        {calculate="datum.sex == 2 ? 'Female' : 'Male'", as="gender"}
    ],
    spacing=10,
    facet={field="age",type="ordinal"},
	spec={
		encoding={
			y={"sum(people)", axis={title="population", grid=false}},
			x={"gender:n", axis={title=""}},
		},
		layer=[{
			:bar,
			color={"gender:n", scale={range=["#675193", "#ca8861"]}},
		},
		{
			text="age",
			mark={
				:text,
				dx=-5,
				angle=90,
				align="right",
				baseline="middle",
				dx=-5
				},
		}]
	},
    config={
        view={stroke=:transparent},
        axis={domainWidth=1}
    }
)

For the reason why your attempt doesn’t work I can only speculate a bit:
In the single grouped bar char Bar Charts · VegaLite.jl the line column="age:o" defines that we want facets plotted as columns.
By adding your two plots this information gets lost, because the x-axis has to be equal for the two plots and is defined as only x="gender:n" which is exactly two values on x. It would translate into:

dataset("population") |>
@vlplot(
    transform=[
        {filter="datum.year == 2000"},
        {calculate="datum.sex == 2 ? 'Female' : 'Male'", as="gender"}
    ],
    x={"gender:n", axis={title=""}}
) + @vlplot(
    :bar,
    ...
) + @vlplot(
    mark={
        :text,
        ....
)

The above VegaLite.jl solution just makes the facet and the spec explicit to reproduce the original solution. I tried with column and several shortcuts, but they didn’t work. A shortcut for example I thought should work would be:

...
facet="age:o",
...

but don’t work.

1 Like