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  3. Data Science Visualization - Module 2

Exercise

Exercise 13. Log-scale

Now we are going to change the axes to log scales to account for the fact that the population distribution is skewed. Let's start by defining an object p that holds the plot we have made up to now:

p <- murders %>% ggplot(aes(population, total, label = abb, color = region)) +
  geom_label()

To change the x-axis to a log scale we learned about the scale_x_log10() function. We can change the axis by adding this layer to the object p to change the scale and render the plot using the following code:

p + scale_x_log10()

Instructions

100 XP

Change both axes to be in the log scale on a single graph. Make sure you do not redefine p - just add the appropriate layers.