Visualize the relationship between the binary and the categorical variables using appropriate plots in R

Question

I have a dataframe, where the variable top10 has either value 0 (not in top 10) and 1 (in top 10). And a categorical variable label (Independent, Warner Music, Sony music, Universal music).

What would be an appropriate plot to visualize the relationship between these variables?

I was thinking about to visualize the probabilities of each label of being in top 10 (top10 == 1). But I have no idea how to do it...

That is what I started to do:

Answer 1

There are many, many potential solutions to your problem. Perhaps this approach suits your use-case?

library(vcd)
#> Loading required package: grid
set.seed(300)
df <- data.frame(label = sample(c("Independent", "Warner Music", "Sony music", "Universal music"),
                                20, replace = TRUE),
                 top10 = as.character(sample(c(0, 0, 1), 20, replace = TRUE)))

df
#>              label top10
#> 1     Warner Music     0
#> 2     Warner Music     1
#> 3     Warner Music     0
#> 4      Independent     0
#> 5  Universal music     0
#> 6      Independent     1
#> 7      Independent     1
#> 8  Universal music     0
#> 9       Sony music     1
#> 10     Independent     1
#> 11 Universal music     1
#> 12     Independent     0
#> 13 Universal music     0
#> 14      Sony music     0
#> 15 Universal music     1
#> 16      Sony music     1
#> 17 Universal music     1
#> 18 Universal music     0
#> 19     Independent     1
#> 20     Independent     0
mosaic(data = table(df), ~ label + top10, highlighting = "top10",
       highlighting_fill = c("lightblue", "pink"),
       rot_labels=c(0,90,0,0), just_labels=c("left","right"))

^{Created on 2022-11-15 by the reprex package (v2.0.1)}