Using `ggplot2` to create multiple scatter plots in a single layout without overlapping labels
I'm following best practices but I'm trying to create a multi-panel scatter plot using `ggplot2` in R, but I'm working with issues with overlapping labels when I add multiple plots to a single layout. I'm using version 3.3.5 of `ggplot2` and I've set up my data frame as follows: ```r library(ggplot2) # Sample data set.seed(123) data <- data.frame( x = rnorm(100), y = rnorm(100), category = rep(c('A', 'B', 'C'), length.out = 100) ) ``` I want to create separate scatter plots for each category in a grid layout. Here's the code I'm using to generate the plots: ```r library(gridExtra) p1 <- ggplot(subset(data, category == 'A'), aes(x = x, y = y)) + geom_point() + ggtitle('Category A') p2 <- ggplot(subset(data, category == 'B'), aes(x = x, y = y)) + geom_point() + ggtitle('Category B') p3 <- ggplot(subset(data, category == 'C'), aes(x = x, y = y)) + geom_point() + ggtitle('Category C') grid.arrange(p1, p2, p3, ncol = 2) ``` When I run this code, the titles of the plots overlap with the axis labels, making it difficult to read. I've tried using `theme()` to adjust the margins and text size, but the scenario continues. For example: ```r p1 + theme(plot.margin = margin(1, 1, 1, 1, "cm"), plot.title = element_text(size = 10)) ``` I also attempted using `facet_wrap()` instead but ended up with similar label overlap. Is there a recommended way to avoid this scenario while still maintaining clarity in the plots? Should I adjust the layout or modify the theme differently? Any help would be appreciated! Thanks in advance!