I want to create a box plot to visualize the distribution of multiple numerical variables with the same scale against one categorical variable in order to see the behaviour between the different measures for one specific level of the factor.

For example, I want to see how much differs the quantity (in thousands of $) of the shipments that 3 custumers order by the type of product. Take this example data:

```
prueba <- data.frame("client1" = truncnorm::rtruncnorm(n = 60, a = 1, b = 9.8, mean = 6.5, sd = 1),
                     "client2" = truncnorm::rtruncnorm(n = 60, a = 1, b = 9.8, mean = 6.9, sd = 2),
                     "client3" = truncnorm::rtruncnorm(n = 60, a = 1, b = 9.8, mean = 5, sd = 3),
                     "type" = as.factor(sample(LETTERS[1:3], 60, replace = T, prob = c(0.4,0.35,0.25))),
                     "cat" = as.factor(sample(LETTERS[20:22], 60, replace = T, prob = c(0.5, 0.1,0.4))))
prueba[,1:3] <- round(prueba[,1:3], 1)
head(prueba)
#  client1 client2 client3 type cat
#1     6.3     7.2     7.0    B   T
#2     7.2     6.5     3.5    C   T
#3     8.0     6.4     8.0    A   V
#4     8.0     7.4     7.0    A   V
#5     7.5     7.6     2.5    B   V
#6     7.0     9.0     3.7    A   V

```

With ggplot I can do this:

```
library(tidyverse)
library(patchwork)

uno <- prueba %>% ggplot(aes(x = type, 
                      y = client1)) +
        geom_boxplot()+scale_y_continuous(limits = c(0,10))

dos <- prueba %>% ggplot(aes(x = type, 
                             y = client2)) +
        geom_boxplot()

tres <- prueba %>% ggplot(aes(x = type, 
                              y = client3)) +
        geom_boxplot()

uno+dos+tres+plot_layout(byrow = F)

```

I get this:
Differences in distributions:  

[![Differences in distributions](https://i.stack.imgur.com/IilIQ.png)](https://i.stack.imgur.com/IilIQ.png)

However, I want something like this:
Something like this:  

[![Something like this](https://i.stack.imgur.com/MQhf4.png)](https://i.stack.imgur.com/MQhf4.png)

But instead of that the x axis be filled with other categorie, I want that it be fill with the distribution of each client.

1. Is this possible?
2. How can I do this in R?
3. There are other visualization methods for do the same?