Here we demonstrate a brief example of how to use the
showtext
package to customize fonts in a
ggplot2
visualization. We first import a toy data set on
Taylor Swift songs with data obtained from the Genius API.
# For custom Google fonts: https://fonts.google.com/
library(showtext)
library(tidyverse)
# Importing CSV file
swiftSongs <- read_csv("https://raw.githubusercontent.com/dilernia/STA418-518/main/Data/swiftSongsFull.csv")
We then create a bar chart showing the number of songs for each album using the satisfy font.
# Downloading Google font for plots
fontFamily <- "satisfy"
font_add_google(name = fontFamily,
family = fontFamily)
showtext_auto()
# Creating bar chart with custom font
swiftSongs %>%
ggplot(aes(x = album_name)) +
geom_bar() +
labs(title = paste0(fontFamily, " font"),
y = "Number of songs",
x = "Album",
caption = "Data source: Genius API") +
theme_minimal() +
theme(legend.position = "none",
text = element_text(family = fontFamily,
size = 20))
Then, a bar chart showing the number of songs for each album using the Dancing Script font.
# Downloading Google font for plots
fontFamily2 <- "Dancing Script"
font_add_google(name = fontFamily2,
family = fontFamily2)
# Creating bar chart with custom font
swiftSongs %>%
ggplot(aes(x = album_name)) +
geom_bar() +
labs(title = paste0(fontFamily2, " font"),
y = "Number of songs",
x = "Album",
caption = "Data source: Genius API") +
theme_minimal() +
theme(legend.position = "none",
text = element_text(family = fontFamily2,
size = 20))
Then, a bar chart showing the number of songs for each album using the Lobster font.
# Downloading Google font for plots
fontFamily3 <- "Lobster"
font_add_google(name = fontFamily3,
family = fontFamily3)
# Creating bar chart with custom font
swiftSongs %>%
ggplot(aes(x = album_name)) +
geom_bar() +
labs(title = paste0(fontFamily3, " font"),
y = "Number of songs",
x = "Album",
caption = "Data source: Genius API") +
theme_minimal() +
theme(legend.position = "none",
text = element_text(family = fontFamily3,
size = 20))