When working with Julia, there are multiple ways to solve a problem. In this article, we will explore three different approaches to create an image as a PNG of a scatter plot projected onto the x-y plane using the Makie package.

## Approach 1: Using the Makie.jl package

```
using Makie
# Generate random data
x = rand(100)
y = rand(100)
# Create a scatter plot
scatter(x, y, markersize = 5, color = :blue)
# Set the projection to x-y plane
scene = Makie.scatterplot!(projection = :xy)
# Save the plot as a PNG image
save("scatter_plot.png", scene)
```

In this approach, we first import the Makie package. Then, we generate random data for the x and y coordinates. Next, we create a scatter plot using the scatter function, specifying the marker size and color. We set the projection to the x-y plane using the scatterplot! function. Finally, we save the plot as a PNG image using the save function.

## Approach 2: Using the Plots.jl package

```
using Plots
# Generate random data
x = rand(100)
y = rand(100)
# Create a scatter plot
scatter(x, y, markersize = 5, color = :blue, aspect_ratio = :equal)
# Set the projection to x-y plane
plot!(projection = :xy)
# Save the plot as a PNG image
savefig("scatter_plot.png")
```

In this approach, we use the Plots package instead of Makie. The steps are similar to the previous approach, but with slight differences in syntax. We generate random data for the x and y coordinates, create a scatter plot, set the projection to the x-y plane, and save the plot as a PNG image using the savefig function.

## Approach 3: Using the Gadfly.jl package

```
using Gadfly
# Generate random data
x = rand(100)
y = rand(100)
# Create a scatter plot
plot(x = x, y = y, Geom.point, Geom.pointcolor(:blue), Guide.xlabel("x"), Guide.ylabel("y"))
# Set the projection to x-y plane
layer!(Theme(default_color = color("blue")), Coord.cartesian(xmin = 0, xmax = 1, ymin = 0, ymax = 1))
# Save the plot as a PNG image
draw(PNG("scatter_plot.png", 10cm, 10cm), plot)
```

In this approach, we use the Gadfly package. We generate random data for the x and y coordinates, create a scatter plot using the plot function, and set the projection to the x-y plane using the layer! function. Finally, we save the plot as a PNG image using the draw function.

After exploring these three approaches, it is clear that the first approach using the Makie package is the most straightforward and concise. It provides a simple and intuitive way to create an image as a PNG of a scatter plot projected onto the x-y plane. Therefore, the first option is the better choice for solving this Julia question.