I have this plot:
Which has been produced with this code chunk based on an old TidyTuesday dataset, Astronaut.
library(tidyverse)
library(ggplot2)
library(ggtext)
astro_Q2_final %>%
ggplot(aes(x = reorder(nationality, proportion), y = proportion)) +
geom_col() +
theme_minimal() +
geom_text(aes(label = round(proportion, 3)), position = position_dodge(width = 0.9),
vjust = -0.25) +
labs(title = "Proportion of Space Travellers who are Female, by Nationality",
x = "Nationality",
y = "Proportion of Female Astronauts")
The data itself is quite simple - character variable of nationality on the x-axis, and an integer variable corresponding to a worked-out proportion on the y. All I want to do is add images of the flags of the nationalities on the x-axis above the country names. I have tried this photo alignment with graph in r but with no luck; I think it's something to do with the fact that Claus Wilke creates the data
object with the expand.grid
function - I can't seem to translate what he's doing to what I need to do with my plot/data. Any help would be much appreciated.
The data can be found here https://raw.githubusercontent.com/gjpstrain/astro/main/data.csv
So I've had another look at the ggtext documentation and have included this:
labels <- c(
U.S.S.R/Russia = "<img src = 'Russia.png' width = 100' /><br>USSR/Russia",
China = "<img src = 'China.jpg' width = '100' /><br>China",
Italy = "<img src = 'Italy.png' width = '100' /><br>Italy",
France = "<img src = 'France.jpg' width = '100' /><br>France",
U.S = "<img src = 'US.png' width = '100' /><br>US",
Japan = "<img src = 'Japan.png' width = '100' /><br>Japan",
Canada = "<img src = 'Canada.png' width = '100' /><br>Canada",
U.K = "<img src = 'UK.png' width = 100' /><br>UK",
Korea = "<img src = 'South-Korea.jpg' width = '100' /><br>Korea")
However when I try this:
astro_Q2_final %>%
ggplot(aes(x = reorder(nationality, proportion), y = proportion)) +
geom_col() +
scale_x_discrete(name = NULL,
labels = labels)
I get
Load library ggtext
and add this line in the last
astro_Q2_final %>%
ggplot(aes(x = reorder(nationality, proportion), y = proportion)) +
geom_col() +
scale_x_discrete(name = NULL,
labels = labels) +
theme(axis.text.x = ggtext::element_markdown())
You should get the desired visual, if the image-links are correct.