Bar graph sorted using dplyr and ggplot2

Question

I would like to create a bar chart after counting the number of occurrences of the categories of a data set. Suppose my dataset is this below:

dados <- structure(list(categorias = structure(c(5L, 4L, 5L, 3L, 1L, 2L, 
5L, 3L, 1L, 1L, 4L, 4L, 1L, 5L, 3L, 1L, 1L, 1L, 2L, 5L), .Label = c("A", 
"B", "C", "D", "E"), class = "factor")), .Names = "categorias", row.names = c(NA, 
-20L), class = "data.frame")

I can count the number of occurrences of each category and make the corresponding bar graph this way:

dados %>%
  group_by(categorias) %>%
  count() %>%
  ggplot(., aes(x=categorias, y=n)) +
  geom_bar(stat="identity")

However, the bars are placed in alphabetical order. I would like them to be placed from the most frequent to the least frequent. In the case of this example, they should be in order A, E, C, D, B.

I would not like solutions using something in the line of

ggplot(dados, aes(x=categorias)) +
  geom_bar(stat="count")

because I think my code is more organized the other way.

Is there any way to do what I wish using the first code I put above?

Answer 1

I had an idea of how to research my question and I ended up getting an answer a few moments after publishing my question:

dados %>%
  group_by(categorias) %>%
  count() %>%
  ggplot(., aes(x=reorder(categorias, -n), y=n)) +
  geom_bar(stat="identity")