scenarios with using R's ggplot2 to overlay multiple layers with different scales
Quick question that's been bugging me - Does anyone know how to I'm working on a personal project and Quick question that's been bugging me - I'm trying to create a plot using `ggplot2` where I need to overlay two different types of data that have significantly different scales... One dataset is a count of occurrences, and the other is a continuous variable measured in different units. When I attempt to add the second layer using `geom_line()`, it seems to distort the first layer's scale. Here is the code I've written so far: ```R library(ggplot2) # Sample data data1 <- data.frame( category = c('A', 'B', 'C', 'D'), count = c(100, 200, 150, 300) ) data2 <- data.frame( category = c('A', 'B', 'C', 'D'), value = c(1.5, 2.0, 3.5, 5.0) ) # Base plot with count p <- ggplot(data1, aes(x = category, y = count)) + geom_bar(stat = 'identity', fill = 'steelblue') # Attempt to overlay second dataset p + geom_line(data = data2, aes(x = category, y = value * 100), group = 1, color = 'red') + scale_y_continuous(sec.axis = sec_axis(~./100, name = 'Value')) + labs(y = 'Count', x = 'Category') ``` However, when I run this code, the line graph doesn't seem to align correctly with the bars, and the secondary axis does not reflect the proper values. I get an unexpected distortion in the appearance of the plot, and the line doesn't match up with the actual counts. I've checked other resources, but I need to seem to figure out how to properly align these two datasets. Any suggestions on how to effectively overlay these two different scales while maintaining clarity in the plot? What's the best practice here? I'm working on a application that needs to handle this. Any ideas what could be causing this? This is happening in both development and production on macOS. What's the correct way to implement this? The stack includes R and several other technologies. Thanks for taking the time to read this!