Using small multiple
If the number of group you need to represent is high, drawing them on the same axis often results in a cluttered and unreadable figure.
A good workaroung is to use small multiple where each group is
represented in a fraction of the plot window, making the figure easy to
read. This is pretty easy to build thanks to the
facet_wrap()function of ggplot2.
library(tidyverse)
library(hrbrthemes)
library(viridis)
library(forcats)
# Load dataset from github
data <- read.table("https://raw.githubusercontent.com/zonination/perceptions/master/probly.csv", header=TRUE, sep=",")
data <- data %>%
gather(key="text", value="value") %>%
mutate(text = gsub("\\.", " ",text)) %>%
mutate(value = round(as.numeric(value),0))
#multi histogram
multi <- data %>%
mutate(text = fct_reorder(text, value)) %>%
ggplot( aes(x=value, color=text, fill=text)) +
geom_histogram(alpha=0.6, binwidth = 5) +
scale_fill_viridis(discrete=TRUE) +
scale_color_viridis(discrete=TRUE) +
theme_ipsum() +
theme(
legend.position="none",
panel.spacing = unit(0.1, "lines"),
strip.text.x = element_text(size = 8)
) +
xlab("") +
ylab("Assigned Probability (%)") +
facet_wrap(~text)
multi