scenarios using `ggplot2` with `geom_bar()` and non-standard categorical data in R
I'm trying to debug I've tried everything I can think of but I'm working on a personal project and I'm sure I'm missing something obvious here, but I'm having trouble visualizing a categorical variable using `ggplot2` in R. Specifically, I'm trying to create a bar plot with the `geom_bar()` function, but my categorical data is stored in a custom class, which seems to be causing issues. I created a custom class to represent categories, but when I use it in the plot, I get the following behavior: `behavior: 'x' must be a factor or character vector`. Here's a minimal example of what I'm working with: ```r # Custom class for categories setClass('Category', slots = list(name = 'character')) # Creating sample data categories <- c('A', 'B', 'C') custom_categories <- lapply(categories, function(x) new('Category', name = x)) # Converting to data frame data <- data.frame( category = unlist(lapply(custom_categories, function(x) x@name)), values = c(10, 15, 20) ) # Trying to create a bar plot library(ggplot2) ggplot(data, aes(x = category, y = values)) + geom_bar(stat = 'identity') ``` I've already tried converting my custom category objects to a standard factor or character vector before plotting, but it doesn't seem to resolve the scenario. I used this conversion: ```r data$category <- as.character(data$category) ``` However, I'm still working with the same behavior when I run the `ggplot()` function. Is there a better way to handle this custom class in `ggplot2`, or am I missing something fundamental about how `ggplot2` expects categorical data to be structured? Any insights would be greatly appreciated! I'm working on a web app that needs to handle this. This is part of a larger application I'm building. Any help would be greatly appreciated! This is for a CLI tool running on Windows 10. I appreciate any insights! I'm working in a CentOS environment. Am I approaching this the right way?