From bb389c057ce01a3dfc275a91612423e7d440cd70 Mon Sep 17 00:00:00 2001
From: Matthew Davis <7035647+mdavis-xyz@users.noreply.github.com>
Date: Mon, 24 Jul 2023 22:57:19 +1000
Subject: [PATCH] Fix typo - levering to leveraging (#1544)

---
 data-visualize.qmd | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/data-visualize.qmd b/data-visualize.qmd
index cc5c261..967e635 100644
--- a/data-visualize.qmd
+++ b/data-visualize.qmd
@@ -922,7 +922,7 @@ Another great tool is Google: try googling the error message, as it's likely som
 In this chapter, you've learned the basics of data visualization with ggplot2.
 We started with the basic idea that underpins ggplot2: a visualization is a mapping from variables in your data to aesthetic properties like position, color, size and shape.
 You then learned about increasing the complexity and improving the presentation of your plots layer-by-layer.
-You also learned about commonly used plots for visualizing the distribution of a single variable as well as for visualizing relationships between two or more variables, by levering additional aesthetic mappings and/or splitting your plot into small multiples using faceting.
+You also learned about commonly used plots for visualizing the distribution of a single variable as well as for visualizing relationships between two or more variables, by leveraging additional aesthetic mappings and/or splitting your plot into small multiples using faceting.
 
 We'll use visualizations again and again throughout this book, introducing new techniques as we need them as well as do a deeper dive into creating visualizations with ggplot2 in @sec-layers through @sec-communication.