01-layers.jl

# Plotting packages
using AlgebraOfGraphics # AoG
using CairoMakie # Required (backend)

# Get our sample datasets
using PharmaDatasets
demographics_df = dataset("demographics_1")

# AlgebraOfGraphics plots are created using layers

## The data layer: specify the data source
data_layer = data(demographics_df) # data(<DataFrame>)
typeof(data_layer) # Layer type

## The mapping layer: how are we going to map our data in the plot
mapping_layer = mapping(:AGE, :WEIGHT) # mapping(<x>, <y>, <z>)

## The visual layer: what type of plot are we going to create
visual_layer = visual(Scatter) # We are creating a scatter plot for this example

# A plot is created by joining layers
plt = data_layer * mapping_layer * visual_layer

# Now we draw our plot
draw(plt)

# It is much more common to define the plot in a single expression
plt = data(demographics_df) * mapping(:AGE, :WEIGHT) * visual(Scatter)

draw(plt)

# Saving plots

## Use the save function
save("my_plot.png", draw(plt)) # save(<filename>, <result from draw>)
save("my_plot.svg", draw(plt)) # CairoMakie supports SVG and PDF files as well
# Preview the plots by clicking on the resulting files

### Resolution
save("my_custom_plot.png", draw(plt); px_per_unit = 2) # Double the resolution
save("my_custom_plot.svg", draw(plt); pt_per_unit = 2) # pt_per_unit for SVG files

## Use the plot navigator (💾)
draw(plt)

# Download the plots
## Right click + Download ...