for simplicity lets suppose we have a database like
# A
1 1
2 2
3 2
4 2
5 3
We have a categorical variable "A" with 3 possible values (1,2,3). And im tring this code:
ggplot(df aes(x="", y=df$A, fill=A))+
geom_bar(width = 1, stat = "identity")
The problem is that the labels are overlapping. Also i want to change the labes for 1,2,3 to x,y,z. Here is picture of what is happening
And here is a link for the actual data that im using. https://a.uguu.se/anKhhyEv5b7W_Data.csv
Your graph does not correspond to the sample of data you are showing, so it is hard to be sure that the structure of your real data is actually the same.
Using a random example, I get the following plot:
df <- data.frame(A = sample(1:3,20, replace = TRUE))
library(ggplot2)
ggplot(df, aes(x="A", y=A, fill=as.factor(A)))+
geom_bar(width = 1, stat = "identity") +
scale_fill_discrete(labels = c("x","y","z"))
EDIT: Using data provided by the OP
Here using your data, you should get the following plot:
ggplot(df, aes(x = "A",y = A, fill = as.factor(A)))+
geom_col()
Or if you want the count of each individual values of A, you can do:
library(dplyr)
library(ggplot2)
df %>% group_by(A) %>% count() %>%
ggplot(aes(x = "A", y = n, fill = as.factor(A)))+
geom_col()
Is it what you are looking for ?
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