Handling Multiple Y-Axis in ggplot2 with Different Scales for Time Series Data
I'm dealing with Hey everyone, I'm running into an issue that's driving me crazy. I've looked through the documentation and I'm still confused about I'm trying to create a time series plot in `ggplot2` where I need to display two different metrics on separate y-axes... The first metric is revenue, and the second one is customer counts, both plotted against the same date range. However, I'm getting unexpected results when I attempt to overlay them using the `sec.axis` feature. Here's the code I've been using: ```R library(ggplot2) library(dplyr) # Sample data set.seed(123) date_seq <- seq(as.Date('2023-01-01'), as.Date('2023-12-31'), by='month') revenue <- rnorm(length(date_seq), mean=10000, sd=2000) customers <- rnorm(length(date_seq), mean=500, sd=100) data <- data.frame(date=date_seq, revenue=revenue, customers=customers) # Attempt to create the plot p <- ggplot(data, aes(x=date)) + geom_line(aes(y=revenue), color='blue') + scale_y_continuous(name='Revenue', sec.axis=sec_axis(~./20, name='Customer Count')) + geom_line(aes(y=customers * 20), color='red') + labs(title='Revenue and Customer Count Over Time', x='Date') print(p) ``` The issue I'm encountering is that the second y-axis (for customer counts) appears to be misaligned, and the scaling doesn't seem to reflect the actual data. I want the customer counts to display correctly in relation to the revenue on the primary axis. I tried adjusting the `sec.axis` transformation but still see the plotted line not matching my expectations. Additionally, I received a warning message: `Warning: Transformation introduced infinite values in continuous y-axis`. It seems to indicate that the scaling is causing issues. Is there a proper approach to handle this scenario in `ggplot2`? Any suggestions or best practices would be greatly appreciated! My development environment is macOS. Is there a better approach? I'm using R latest in this project. For context: I'm using R on Windows 11. What would be the recommended way to handle this? Thanks for taking the time to read this!