diff --git a/EDA.Rmd b/EDA.Rmd
index 72e55c7..abea303 100644
--- a/EDA.Rmd
+++ b/EDA.Rmd
@@ -454,7 +454,7 @@ ggplot(data = diamonds) +
   geom_point(mapping = aes(x = carat, y = price), alpha = 1 / 100)
 ```
 
-But using transparency can be challening for very large datasets. Another solution is to use bin. Previously you used `geom_histogram()` and `geom_freqpoly()` to bin in one dimension. Now you'll learn how to use `geom_bin2d()` and `geom_hex()` to bin in two dimensions.
+But using transparency can be challenging for very large datasets. Another solution is to use bin. Previously you used `geom_histogram()` and `geom_freqpoly()` to bin in one dimension. Now you'll learn how to use `geom_bin2d()` and `geom_hex()` to bin in two dimensions.
 
 `geom_bin2d()` and `geom_hex()` divide the coordinate plane into 2d bins and then use a fill color to display how many points fall into each bin. `geom_bin2d()` creates rectangular bins. `geom_hex()` creates hexagonal bins. You will need to install the hexbin package to use `geom_hex()`.