summerschool_simtech_2023/material/3_wed/vis/handout.qmd
2023-09-25 11:35:13 +00:00

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---
jupyter: julia-1.9
---
# Makie.jl
## Backends
Four backends:
1. `CairoMakie` - SVG
2. `GLMakie` - 2D/3D/fast interactivity
3. `WGLMakie` - Same as GLMakie, but in browser
4. `RPRMakie` - experimental raytracing
I will use `GLMakie` or `CairoMakie`. To switch use `CairoMakie.activate!()`
## Layouts for scientific figures
# Pluto.jl for easy interactivity
# Grammar of Graphics
The grammar of graphics is a convenient way to build common explorative plots.
For example:
#### For ggplot enthusiasts:
You could use [TidierPlots.jl - a ggplot clone](https://github.com/TidierOrg/TidierPlots.jl)
Check out the [../../../../cheatsheets/ggplotAOG.qmd]:
## AlgebraOfGraphics.jl
### Loading data
```{julia}
using GLMakie # backend
using AlgebraOfGraphics
using PalmerPenguins, DataFrames # example dataset
penguins = dropmissing(DataFrame(PalmerPenguins.load()))
first(penguins, 6)
```
::: callout-note
A `tidy dataframe` is a dataframe that follows these three rules:
1. Every column is a variable.
2. Every row is an observation.
3. Every cell is a single value.
Tidy data make your visualization life much easier as you will see!
:::
### AoG basics
`data * mapping * visual`
```{julia}
vis_pen = data(penguins) * mapping(:bill_length_mm, :bill_depth_mm) * visual(Scatter)
draw(vis_pen)
```
### Adding color
```{julia}
vis_pencolor = data(penguins) * mapping(:bill_length_mm, :bill_depth_mm, color = :species) * visual(Scatter)
draw(vis_pencolor)
```
But that is a bit redundant, you can shortcut this, by reusing existing mappings / inputs:
```{julia}
vis_pencolor2 = vis_pen * mapping(color=:species)
draw(vis_pencolor2)
```
### Why `Algebra`OfGraphics?
Follows some algebraic rules of multiplying out sums
`data * mapping * (visual(Scatter)+visual(Lines))`
```{julia}
data(penguins) * mapping(:bill_length_mm, :bill_depth_mm) * (visual(Scatter)+visual(Lines)) |> draw
```
### Faceting
```{julia}
data(penguins) * mapping(:bill_length_mm, :bill_depth_mm) * mapping(color = :species, col = :sex) |> draw
```
```{julia}
data(penguins) * mapping(:bill_length_mm, :bill_depth_mm) * mapping(color = :species, col = :sex,row=:body_mass_g => x-> x>3500) |> draw
```
### Linear & Non-linear summaries
```{julia}
data(penguins) * mapping(:bill_length_mm, :bill_depth_mm, color=:species) * (linear() + visual(Scatter)) |> draw
```
```{julia}
data(penguins) * mapping(:bill_length_mm, :bill_depth_mm, color=:species) * (smooth() + visual(Scatter)) |> draw
```
# Interactivity
With Makie.jl, two ways of interactivity:
**Observables** - very general way, a little bit more verbose
**Pluto.jl Sliders** - very simple, need to redraw plot everytime^[it is technically possible t combine Pluto with Observables, but it is a bit buggy]