diff --git a/EDA.qmd b/EDA.qmd
index c333850d3..5ea58e72f 100644
--- a/EDA.qmd
+++ b/EDA.qmd
@@ -328,7 +328,7 @@ For example, let's explore how the price of a diamond varies with its quality (m
 
 ```{r}
 #| fig-alt: |
-#|   A frequency polygon of prices of diamonds where each cut of carat (Fair, 
+#|   A frequency polygon of prices of diamonds where each cut (Fair, 
 #|   Good, Very Good, Premium, and Ideal) is represented with a different color 
 #|   line. The x-axis ranges from 0 to 30000 and the y-axis ranges from 0 to 
 #|   5000. The lines overlap a great deal, suggesting similar frequency 
@@ -348,8 +348,7 @@ Instead of displaying count, we'll display the **density**, which is the count s
 
 ```{r}
 #| fig-alt: |
-#|   A frequency polygon of densities of prices of diamonds where each cut of 
-#|   carat (Fair, Good, Very Good, Premium, and Ideal) is represented with a 
+#|   A frequency polygon of densities of prices of diamonds where each cut (Fair, Good, Very Good, Premium, and Ideal) is represented with a 
 #|   different color line. The x-axis ranges from 0 to 20000. The lines overlap 
 #|   a great deal, suggesting similar density distributions of prices of 
 #|   diamonds. One notable feature is that all but Fair diamonds have high peaks 
@@ -686,4 +685,4 @@ In this chapter you've learned a variety of tools to help you understand the var
 You've seen techniques that work with a single variable at a time and with a pair of variables.
 This might seem painfully restrictive if you have tens or hundreds of variables in your data, but they're the foundation upon which all other techniques are built.
 
-In the next chapter, we'll focus on the tools we can use to communicate our results.
\ No newline at end of file
+In the next chapter, we'll focus on the tools we can use to communicate our results.