Performing transformations

Besides mapping particular variables to either the x or y axis, one can first perform statistical transformations on variables, and then remap the transformed variable to a specific position. In this recipe, we introduce how to perform variable transformations with ggplot2.

Getting ready

Ensure you have completed the previous steps by storing sum_price_by_province, and sample_sum in your R environment.

How to do it…

Perform the following steps to perform statistical transformation in ggplot2:

1. First, create a dataset named sample_sum2 by filtering sales data from Alberta and British Columbia:

   > sample_sum2 <- sum_price_by_province %>% filter(Province %in% c('Alberta', 'British Columbia' ) )
   

2. Create a line plot with a regression line, using the geom_point and geom_smooth functions:

   > g <- ggplot(data=sample_sum2, mapping=aes(x=Year_Month, y=Total_Sales, col=Province ))
   > g + geom_point(size=5) + geom_smooth() + ggtitle('Adding Smoother')
   

   

   Figure 14: Adding...