I have the following dataset:
df <- data.frame( Product = c(755, 728, 417, 355, 913, 634, 385, 208, 204, 696, 968, 816, 279, 869, 823, 646, 986, 674, 806, 335, 731, 734, 107, 105, 512, 859, 159, 113, 353, 105, 205, 919, 243, 717, 838, 408, 423, 357, 408, 464, 724, 643, 943, 648, 623, 451, 449, 135, 842, 711), Category = c("Bread", "Cheese", "Bread", "Cheese", "Bread", "Cheese", "Bread", "Bread", "Bread", "Cheese", "Bread", "Bread", "Cheese", "Bread", "Cheese", "Bread", "Bread", "Bread", "Cheese", "Cheese", "Cheese", "Bread", "Bread", "Cheese", "Bread", "Cheese", "Bread", "Bread", "Bread", "Cheese", "Cheese", "Bread", "Bread", "Cheese", "Cheese", "Bread", "Bread", "Bread", "Bread", "Cheese", "Cheese", "Cheese", "Cheese", "Cheese", "Cheese", "Cheese", "Cheese", "Bread", "Bread", "Cheese"), Sub_Category = c("White", "Camembert", "White", "Camembert", "White", "Brie", "Brown", "Wholemeal", "White", "Brie", "Wholemeal", "Wholemeal", "Gouda", "Wholemeal", "Camembert", "Brown", "White", "Wholemeal", "Gouda", "Gouda", "Brie", "Wholemeal", "Wholemeal", "Camembert", "White", "Brie", "Wholemeal", "Wholemeal", "Brown", "Brie", "Brie", "White", "Wholemeal", "Camembert", "Gouda", "White", "Wholemeal", "Brown", "White", "Camembert", "Brie", "Brie", "Camembert", "Brie", "Camembert", "Gouda", "Camembert", "Wholemeal", "White", "Camembert"), Fibre = c(TRUE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE, TRUE))With which I have the following script to produce a plot:
library(tidyverse)proportions <- df %>% group_by(Category, Sub_Category) %>% summarise(Proportion = mean(Fibre == TRUE) * 100, .groups = 'drop')ggplot(data = proportions, aes(x = Proportion, y = Sub_Category, fill = Category)) + geom_col(position = "dodge") + labs(fill = "Category")
This is very close to the output I am hoping for.
However, I want the bars to be grouped by category (so all the bread bars should be together, and then the cheese bars together) and ordered in descending value after this grouping. So the final order of bars read from top to bottom should be white, wholemeal, brown, brie, camembert, gouda.
How can I reorder my bars so that they are grouped both by category and ordered by descending value?