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https://github.com/MakieOrg/AlgebraOfGraphics.jl

An algebraic spin on grammar-of-graphics data visualization in Julia. Powered by the Makie.jl plotting ecosystem.
https://github.com/MakieOrg/AlgebraOfGraphics.jl

Last synced: 14 days ago
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An algebraic spin on grammar-of-graphics data visualization in Julia. Powered by the Makie.jl plotting ecosystem.

Host: GitHub
URL: https://github.com/MakieOrg/AlgebraOfGraphics.jl
Owner: MakieOrg
License: mit
Created: 2020-03-12T15:39:03.000Z (over 4 years ago)
Default Branch: master
Last Pushed: 2024-10-23T01:57:29.000Z (21 days ago)
Last Synced: 2024-10-23T11:22:37.005Z (21 days ago)
Language: Julia
Homepage: https://aog.makie.org
Size: 327 MB
Stars: 439
Watchers: 6
Forks: 45
Open Issues: 88
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE

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README

        



  

    

    

    

  



# AlgebraOfGraphics

[![CI](https://github.com/MakieOrg/AlgebraOfGraphics.jl/actions/workflows/ci.yml/badge.svg)](https://github.com/MakieOrg/AlgebraOfGraphics.jl/actions/workflows/ci.yml)

[![codecov.io](https://codecov.io/github/MakieOrg/AlgebraOfGraphics.jl/coverage.svg?branch=master)](http://codecov.io/github/MakieOrg/AlgebraOfGraphics.jl?branch=master)

[![](https://img.shields.io/badge/docs-stable-blue.svg)](https://aog.makie.org/stable)

[![](https://img.shields.io/badge/docs-dev-blue.svg)](https://aog.makie.org/dev)

Visualize your data using a few simple building blocks that can be

composed using `+` and `*`. AlgebraOfGraphics puts a new algebraic spin

on the grammar of graphics idea known from R’s

[ggplot2](https://ggplot2.tidyverse.org/) package.

Visualizations are powered by

[Makie](https://github.com/MakieOrg/Makie.jl) and you have its full

capabilities available to tweak figures produced by AlgebraOfGraphics.

## Example

``` julia

using AlgebraOfGraphics, CairoMakie, PalmerPenguins, DataFrames

penguins = dropmissing(DataFrame(PalmerPenguins.load()))

set_aog_theme!()

update_theme!(Axis = (; width = 150, height = 150))

spec = data(penguins) * mapping(:bill_length_mm, :bill_depth_mm)

draw(spec)

```

![](README_files/figure-commonmark/cell-3-output-1.svg)

``` julia

by_color = spec * mapping(color = :species)

draw(by_color)

```

![](README_files/figure-commonmark/cell-4-output-1.svg)

``` julia

with_regression = by_color * (linear() + visual(alpha = 0.3))

draw(with_regression)

```

![](README_files/figure-commonmark/cell-5-output-1.svg)

``` julia

facetted = with_regression * mapping(col = :sex)

draw(facetted)

```

![](README_files/figure-commonmark/cell-6-output-1.svg)

``` julia

draw(facetted, scales(Color = (; palette = :Set1_3)))

```

![](README_files/figure-commonmark/cell-7-output-1.svg)

## Acknowledgements

Analyses rely on

[StatsBase.jl](https://github.com/JuliaStats/StatsBase.jl),

[Loess.jl](https://github.com/JuliaStats/Loess.jl),

[KernelDensity.jl](https://github.com/JuliaStats/KernelDensity.jl), and

[GLM.jl](https://github.com/JuliaStats/GLM.jl). Some of their

documentation is transcribed here.

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