https://github.com/erocoar/ggpol

🌍 Parliament diagrams and more for ggplot2
https://github.com/erocoar/ggpol

dataviz ggplot-extension ggplot2 r visualization

Last synced: 2 days ago
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🌍 Parliament diagrams and more for ggplot2

• Host: GitHub
• URL: https://github.com/erocoar/ggpol
• Owner: erocoar
• License: other
• Created: 2018-03-29T12:34:23.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2022-05-26T18:34:48.000Z (over 2 years ago)
• Last Synced: 2024-10-30T00:52:16.250Z (about 2 months ago)
• Topics: dataviz, ggplot-extension, ggplot2, r, visualization
• Language: R
• Homepage: https://erocoar.github.io/ggpol/
• Size: 1.36 MB
• Stars: 104
• Watchers: 4
• Forks: 10
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
[![R-CMD-check](https://github.com/erocoar/ggpol/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/erocoar/ggpol/actions/workflows/R-CMD-check.yaml)

[![CRAN_Release_Badge](http://www.r-pkg.org/badges/version-ago/ggpol)](https://CRAN.R-project.org/package=ggpol)

[![CRAN_Download_Badge](http://cranlogs.r-pkg.org/badges/grand-total/ggpol)](https://CRAN.R-project.org/package=ggpol)

### About

`ggpol` adds parliament diagrams and various other visualizations and convenience functions to `ggplot2`.

### Installation

`ggpol` can be installed via CRAN:

```r

install.packages("ggpol")

```

Alternatively, the development version can be installed via GitHub:

```r

if (!require(devtools)) {

    install.packages('devtools')

}

devtools::install_github('erocoar/ggpol')

```

### Selected Features

Below are two functions added by `ggpol`. For a full overview with applications, please refer to the [vignette](https://erocoar.github.io/ggpol/).

`geom_parliament` draws a parliament diagram, clustering points along an arc by parties with each point representing a single member of parliament. 

```r

bt <- data.frame(

 parties = factor(c("CDU", "CSU", "AfD", "FDP", "SPD", 

                    "Linke", "Gruene", "Fraktionslos"),

                  levels = c("CDU", "CSU", "AfD", "FDP", "SPD", 

                             "Linke", "Gruene", "Fraktionslos")),

 seats   = c(200, 46, 92, 80, 153, 69, 67, 2),

 colors  = c("black", "blue", "lightblue", "yellow", 

             "red","purple", "green", "grey"),

 stringsAsFactors = FALSE)

ggplot(bt) + 

  geom_parliament(aes(seats = seats, fill = parties), color = "black") + 

  scale_fill_manual(values = bt$colors, labels = bt$parties) +

  coord_fixed() + 

  theme_void()

```

![Parliament Diagram](https://i.imgur.com/gvsCvBH.png)

`geom_boxjitter` produces a hybrid of box- and scatterplot. 

```r

df <- data.frame(score = rgamma(150, 4, 1), 

                 gender = sample(c("M", "F"), 150, replace = TRUE), 

                genotype = factor(sample(1:3, 150, replace = TRUE)))

ggplot(df) + geom_boxjitter(aes(x = genotype, y = score, fill = gender),

                            jitter.shape = 21, jitter.color = NA, 

                            jitter.params = list(height = 0, width = 0.04),

                            outlier.color = NA, errorbar.draw = TRUE) +

  scale_fill_manual(values = c("#ecb21e", "#812e91")) +

  theme_minimal()

```

![Hybrid Boxplot](https://i.imgur.com/zlwIs14.png)

### Roadmap

If you would like to see a certain feature, please file an issue with a detailed description.