diff --git a/EDA.qmd b/EDA.qmd
index 720d271..725349d 100644
--- a/EDA.qmd
+++ b/EDA.qmd
@@ -372,7 +372,7 @@ ggplot(diamonds, aes(x = price, y = after_stat(density))) +
   geom_freqpoly(aes(color = cut), binwidth = 500, linewidth = 0.75)
 ```
 
-Note that we're mapping the density the `y`, but since `density` is not a variable in the `diamonds` dataset, we need to first calculate it.
+Note that we're mapping the density to `y`, but since `density` is not a variable in the `diamonds` dataset, we need to first calculate it.
 We use the `after_stat()` function to do so.
 
 There's something rather surprising about this plot - it appears that fair diamonds (the lowest quality) have the highest average price!