diff --git a/docs/examples/UserGuide/mutate_transmute.jl b/docs/examples/UserGuide/mutate_transmute.jl
index 128a2730..a2351fb4 100644
--- a/docs/examples/UserGuide/mutate_transmute.jl
+++ b/docs/examples/UserGuide/mutate_transmute.jl
@@ -1,4 +1,4 @@
-# The primary purpose of `@mutate()` is to either create a new column or to update an existing column *without* changing the number of rows in the dataset. If you only plan to select the mutated columns, then you can use `@transmute()` instead of `@mutate(). However, in `TidierData.jl`, `@select()` can also be used to create and select new columns (unlike R's `tidyverse`), which means that `@transmute()` is a redundant function in that it has the same functionality as `@select()`. `@transmute` is included in `TidierData.jl` for convenience but is not strictly required.
+# The primary purpose of `@mutate()` is to either create a new column or to update an existing column *without* changing the number of rows in the dataset. If you only plan to select the mutated columns, then you can use `@transmute()` instead of `@mutate()`. However, in `TidierData.jl`, `@select()` can also be used to create and select new columns (unlike R's `tidyverse`), which means that `@transmute()` is a redundant function in that it has the same functionality as `@select()`. `@transmute` is included in `TidierData.jl` for convenience but is not strictly required.
 
 using TidierData
 using RDatasets
@@ -58,4 +58,4 @@ end
     @filter(!ismissing(Budget))
     @transmute(Title = Title, Budget = Budget/1_000_000)
     @slice(1:5)
-end
\ No newline at end of file
+end