diff --git a/EDA.qmd b/EDA.qmd
index 5ebe7b7..76975c8 100644
--- a/EDA.qmd
+++ b/EDA.qmd
@@ -550,7 +550,7 @@ For larger plots, you might want to try the heatmaply package, which creates int
 2.  How does the segmented bar chart change if color is mapped to the `x` aesthetic and `cut` is mapped to the `fill` aesthetic?
     Calculate the counts that fall into each of the segments.
 
-3.  Use `geom_tile()` together with dplyr to explore how average flight delays vary by destination and month of year.
+3.  Use `geom_tile()` together with dplyr to explore how average flight departure delays vary by destination and month of year.
     What makes the plot difficult to read?
     How could you improve it?