diff --git a/factors.qmd b/factors.qmd
index 498b3fe..a98871e 100644
--- a/factors.qmd
+++ b/factors.qmd
@@ -258,14 +258,12 @@ This makes the plot easier to read because the colors of the line at the far rig
 #|     There is one line for each category of marital status: no answer,
 #|     never married, separated, divorced, widowed, and married. It is
 #|     a little hard to read the plot because the order of the legend is 
-#|     unrelated to the lines on the plot.   
-#|     
-#|     Rearranging the legend makes the plot easier to read because the
-#|     legend colors now match the order of the lines on the far right 
-#|     of the plot. You can see some unsurprising patterns: the proportion
-#|     never married decreases with age, married forms an upside down U 
-#|     shape, and widowed starts off low but increases steeply after age
-#|     60.
+#|     unrelated to the lines on the plot. Rearranging the legend makes 
+#|     the plot easier to read because the legend colors now match the 
+#|     order of the lines on the far right of the plot. You can see some 
+#|     unsurprising patterns: the proportion never married decreases with 
+#|     age, married forms an upside down U shape, and widowed starts off 
+#|     low but increases steeply after age 60.
 by_age <- gss_cat |>
   filter(!is.na(age)) |> 
   count(age, marital) |>