R language: scenarios in ggplot2 when trying to plot grouped data with geom_bar
I'm relatively new to this, so bear with me. I'm working on a project and hit a roadblock. I'm working with an scenario while trying to create a grouped bar plot using `ggplot2` in R. I'm using R version 4.2.1 and ggplot2 version 3.3.5. The dataset I'm working with looks something like this: ```r # Sample data frame data <- data.frame( category = rep(c('A', 'B'), each = 3), type = rep(c('X', 'Y', 'Z'), times = 2), value = c(10, 20, 15, 5, 30, 25) ) ``` When I try to create the grouped bar plot using the following code: ```r library(ggplot2) ggplot(data, aes(x = category, y = value, fill = type)) + geom_bar(stat = 'identity', position = 'dodge') ``` I receive the following behavior message: ``` behavior in eval(predvars, data, env) : object 'type' not found ``` I've double-checked my data frame and confirmed that the `type` column exists. To troubleshoot, I printed the structure of `data` using `str(data)` and it shows the correct column names and types. I also tried using `as.factor()` to convert the columns to factors, but that didn’t resolve the scenario either: ```r data$category <- as.factor(data$category) data$type <- as.factor(data$type) ``` I even attempted to use the `dplyr` library to ensure that the data is grouped correctly before plotting: ```r library(dplyr) data_grouped <- data %>% group_by(category, type) %>% summarise(value = sum(value)) ``` However, when I replaced `data` in the ggplot function with `data_grouped`, I still ran into the same behavior. What could be causing this scenario? Are there any specific configurations or best practices I might be missing? Any help would be greatly appreciated! Has anyone else encountered this? My development environment is macOS. Any ideas what could be causing this?