Scatterplot with polynomial fit
using Deneb
x = rand(50) .^ 2
y = 10 .- 1.0 ./ (x .+ 0.1) .+ randn(50)
data = (; x, y)
points = Data(data) * Mark(:circle, color=:black) * Encoding("x:Q", "y:Q")
lines = points * Mark(:line) * Encoding(color="degree:N") * layer(
transform_regression(
:x, :y;
method=:poly,
order=order,
as=(:x, string(order))
) * transform_fold(
[string(order)], as=(:degree, :y)
)
for order in (1, 3, 5)
)
chart = (points + lines) * vlspec(width=400)
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