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To create a scatter plot using ggplot2 with log-transformed values in the real estate domain and including x and y axis labels, you can follow these steps:

1. Load the ggplot2 library by using the command library(ggplot2)

2. Create a data frame containing the real estate domain data that you want to plot. Let's say you have a dataset containing the prices of houses and the number of bedrooms. You can create the data frame using the following command:

data <- data.frame(price = c(100000, 150000, 200000, 250000, 300000),
                   bedrooms = c(2, 3, 4, 5, 6))

1. Transform the price values using the log() function. In R, you can use the log() function to transform the data, as follows:

data$log_price <- log(data$price)

1. Create the scatter plot using the ggplot() function. You can map the log_price values to the y-axis and the bedrooms values to the x-axis. The command to create the scatter plot is as follows:

ggplot(data, aes(x = bedrooms, y = log_price)) + geom_point() + 
  xlab("Number of bedrooms") + ylab("Log of house price")

The result of this command is a scatter plot with the number of bedrooms on the x-axis and the log-transformed prices on the y-axis. The x and y axis labels are also included.