[BUG] cornerplot y-axis is too large

[Jonas-a-Zimmermann]

Details

The y-lims in the cornerplot subfigures are too large, rendering the scatterplot and row-wise histograms useless.
e.g.

using Random, Plots, StatsPlots
x, y = randn(1000), randn(1000)
cornerplot([x;;y]; compact=false)

leads to

Backends

This bug occurs on ( insert x below )

Backend	yes	no	untested
gr (default)	x
pythonplot			x
plotlyjs	x
pgfplotsx			x
unicodeplots			x
inspectdr			x
gaston			x

Versions

Plots.jl version:
Backend version: GR v0.73.8, PlotlyJS v0.18.14
Output of versioninfo():
Julia Version 1.10.5
Commit 6f3fdf7b362 (2024-08-27 14:19 UTC)
Build Info:
Official https://julialang.org/ release
Platform Info:
OS: macOS (arm64-apple-darwin22.4.0)
CPU: 14 × Apple M3 Max
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-15.0.7 (ORCJIT, apple-m1)

[Jonas-a-Zimmermann]

A (naive) fix for this is to add the xlims and ylims in the cornerplot, as e.g.

# scatters
    for i = 1:N
        vi = view(mat, :, i)
        for j = 1:N
            # only the lower triangle
            if compact && i <= j
                continue
            end

            vj = view(mat, :, j)
            @series begin
                ticks := :auto
                if i == N
                    xformatter := :auto
                    xguide := _cycle(labs, j)
                end
                if j == 1
                    yformatter := :auto
                    yguide := _cycle(labs, i)
                end
                seriestype := :scatter
                subplot := indices[i + 1 - k, j]
                markercolor := grad[0.5 + 0.5C[i, j]]
                smooth --> true
                markerstrokewidth --> 0
                xlims --> extrema(vj).*1.05
                ylims --> extrema(vi).*1.05
                vj, vi
            end
        end
        # end
    end

leading to the desired outcome

[Jonas-a-Zimmermann]

After some digging I came to the conclusion that the cause of the issue is the usage of the depracted orientation in the definition of the histogram series (to clarify: line 71 of cornerplot.jl). After changing it to permute, it works as expected.
However, the histograms on the right corner suffer from the same issue as in #4949 .

[Jonas-a-Zimmermann]

While it also suffers from #4949 , there is the more intricate and serious issue of expand_extrema not fixing the lower limits of the (post permute)x-axis. This is set during the bar recipe. I believe the best course of action would be to just not handle axis widening during recipes.
With expand_extrema!(axis, scale_lims(ignorenan_extrema(xseg.pts)..., default_widen_factor)) in the bar recipe

Without expand_extrema!(axis, scale_lims(ignorenan_extrema(xseg.pts)..., default_widen_factor)) in the bar recipe