diff --git a/joins.qmd b/joins.qmd
index db6cccc..0070fa2 100644
--- a/joins.qmd
+++ b/joins.qmd
@@ -412,7 +412,8 @@ flights2 |>
 ## How do joins work?
 
 Now that you've used joins a few times it's time to learn more about how they work, focusing on how each row in `x` matches rows in `y`.
-We'll begin by introducing a visual representation of joins, using the simple tibbles defined below and shown in @fig-join-setup. In these examples we'll use a single key called `key` and a single value column (`val_x` and `val_y`), but the ideas all generalize to multiple keys and multiple values.
+We'll begin by introducing a visual representation of joins, using the simple tibbles defined below and shown in @fig-join-setup.
+In these examples we'll use a single key called `key` and a single value column (`val_x` and `val_y`), but the ideas all generalize to multiple keys and multiple values.
 
 ```{r}
 x <- tribble(
@@ -626,8 +627,6 @@ df1 |>
 
 If you are doing this deliberately, you can set `relationship = "many-to-many"`, as the warning suggests.
 
-
-
 ### Filtering joins {#sec-non-equi-joins}
 
 The number of matches also determines the behavior of the filtering joins.