How to implement guide with `ggplot2` and `facet_wrap()` when using dynamic data filtering in r
I'm trying to configure I'm working with an scenario when trying to use `facet_wrap()` in `ggplot2` with a dynamically filtered dataset. Specifically, I have a data frame `df` that contains various categories, and I'm attempting to create a faceted plot based on a user-selected filter. However, when I apply the filter, some facets do not appear at all, even though I can confirm the data exists for those categories. Here’s a simplified version of my code: ```R library(ggplot2) # Sample data df <- data.frame( category = rep(c("A", "B", "C", "D"), each = 25), value = rnorm(100) ) # User-selected filter df_filtered <- df[df$category %in% c("A", "B"), ] # Plot with facet_wrap p <- ggplot(df_filtered, aes(x = category, y = value)) + geom_boxplot() + facet_wrap(~ category) print(p) ``` When I run this code, I expect to see boxplots for both categories A and B. However, if I change the filter to include category "C" instead of "B", the plot shows only category A and I get a warning saying "Removed 25 rows containing non-finite values (stat_boxplot)". But I can confirm that the data for category C is present in the original `df` before filtering. I've checked for NAs in my original data and ensured that there are no issues with the data types. The `filter` function from `dplyr` behaves the same way when I try to use it. I’ve also tried using `na.rm = TRUE` in the `geom_boxplot()`, but that doesn't seem to resolve the scenario. Can anyone guide to understand why some facets are disappearing or how I can fix this? I'm using R version 4.2.1 and `ggplot2` version 3.3.5. The stack includes R and several other technologies. What's the correct way to implement this?