https://github.com/emilhvitfeldt/fontscales

Use Iconographic Fonts in 'ggplot2'
https://github.com/emilhvitfeldt/fontscales

Last synced: about 2 months ago
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Use Iconographic Fonts in 'ggplot2'

• Host: GitHub
• URL: https://github.com/emilhvitfeldt/fontscales
• Owner: EmilHvitfeldt
• License: other
• Created: 2021-02-20T21:21:47.000Z (almost 4 years ago)
• Default Branch: master
• Last Pushed: 2021-02-21T00:47:55.000Z (almost 4 years ago)
• Last Synced: 2023-03-01T05:32:28.207Z (almost 2 years ago)
• Language: R
• Size: 99.6 KB
• Stars: 7
• Watchers: 1
• Forks: 1
• Open Issues: 3
• Metadata Files:
  • Readme: README.Rmd
  • License: LICENSE

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README

        
---

output: github_document

---

```{r, include = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  out.width = "100%"

)

```

# fontscales

[![R-CMD-check](https://github.com/EmilHvitfeldt/fontscales/workflows/R-CMD-check/badge.svg)](https://github.com/EmilHvitfeldt/fontscales/actions)

The goal of fontscales is to is to let you use fancy iconographic fonts with ease in [ggplot2](https://ggplot2.tidyverse.org/).

This package relies heavily on [ragg](https://ragg.r-lib.org/), please see [this article](https://www.tidyverse.org/blog/2021/02/modern-text-features/) for more information.

## Installation

You can install the dev version of fontscales from [Github](http://github.com/) with:

```{r installation, eval=FALSE}

require("devtools")

install_github("EmilHvitfeldt/fontscales")

```

## StateFace

The [StateFace](https://propublica.github.io/stateface/) font by [ProPublica](https://www.propublica.org/) contains the 50 different U.S. states as tiny glyphs and can thus be used in data visualizations.

The data set `usa_arrests` represents a data set where this might be useful where the `state` variable contains the name of the state

```{r}

library(fontscales)

usa_arrests

```

Using `ggplot2` you pass the state name variable to the `label` aesthetic and use `geom_stateface()` to draw the states. (This should function similary to `geom_text()` or `geom_point()`).

```{r}

library(ggplot2)

ggplot(usa_arrests, aes(murder, assault, label = state, color = urban_pop)) +

  geom_stateface()

```

And other `ggplot2` functions work as expected

```{r}

library(tidyr)

usa_arrests %>%

  pivot_longer(-c(state, urban_pop)) %>%

  ggplot(aes(urban_pop, value, label = state)) +

  geom_stateface() +

  facet_wrap(~name, scales = "free_y")

```