implementing generating a custom color palette in ggplot2 for categorical data
Can someone help me understand I'm trying to create a custom color palette for a ggplot2 visualization, but I'm running into issues where the colors don't seem to apply as expected. I'm using R version 4.3.1 and the ggplot2 package version 3.4.0. My dataset consists of a factor variable with five unique categories, but when I apply my palette, only the first category seems to change color while the rest default to ggplot2's defaults. Here's the code I'm using to generate the plot: ```R library(ggplot2) data <- data.frame(category = factor(c('A', 'B', 'C', 'D', 'E')), value = c(10, 20, 15, 25, 30)) custom_palette <- c('red', 'blue', 'green', 'orange', 'purple') ggplot(data, aes(x = category, y = value)) + geom_bar(stat = 'identity', fill = custom_palette) + scale_fill_manual(values = custom_palette) ``` I expect each bar in the plot to use the corresponding color from my `custom_palette`, but only the first bar appears red, and the others are colored using ggplot2's default palette. I've tried removing the `scale_fill_manual` line, but it doesn't resolve the scenario. I also verified that the levels of the factor match the number of colors in my custom palette. What could be going wrong here? I would appreciate any insights into how to ensure that all categories are displayed with the correct colors. I'm working in a Windows 11 environment. What am I doing wrong?