diff --git a/creating-scatter.Rmd b/creating-scatter.Rmd
index e0abace..bdf3654 100644
--- a/creating-scatter.Rmd
+++ b/creating-scatter.Rmd
@@ -146,7 +146,7 @@ subplot(
 knitr::include_graphics("images/color-types.svg")
 ```
 
-There are numerous ways to alter the default color scale via the `colors` argument. This argument excepts one of the following: (1) a color brewer palette name (see the row names of `RColorBrewer::brewer.pal.info` for valid names), (2) a vector of colors to interpolate, or (3) a color interpolation function like `colorRamp()` or `scales::colour_ramp()`. Although this grants a lot of flexibility, one should be conscious of using a sequential colorscale for numeric variables (and ordered factors) as shown in Figure \@ref(fig:color-numeric), and a qualitative colorscale for discrete variables as shown in Figure \@ref(fig:color-discrete).
+There are numerous ways to alter the default color scale via the `colors` argument. This argument expects (or accepts) one of the following: (1) a color brewer palette name (see the row names of `RColorBrewer::brewer.pal.info` for valid names), (2) a vector of colors to interpolate, or (3) a color interpolation function like `colorRamp()` or `scales::colour_ramp()`. Although this grants a lot of flexibility, one should be conscious of using a sequential colorscale for numeric variables (and ordered factors) as shown in Figure \@ref(fig:color-numeric), and a qualitative colorscale for discrete variables as shown in Figure \@ref(fig:color-discrete).
 
 ```r
 col1 <- c("#132B43", "#56B1F7")