From fd4e31d01e71bb0fbffe89d7615cb9ba8a00e76e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Metehan=20G=C3=9CNG=C3=96R?=
 <102655648+gungorMetehan@users.noreply.github.com>
Date: Thu, 20 Aug 2026 11:28:49 +0300
Subject: [PATCH] Fix figure alt text for diamond price analysis
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‘cut of carat’ is misleading, as cut refers to the diamond’s quality rather than its carat weight. ‘Each cut’ would be more appropriate and is also used elsewhere in the text.
---
 EDA.qmd | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

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.