Fix typos

EDA.Rmd

@@ -111,7 +111,7 @@ diamonds %>% count(cut_width(carat, 0.5))
 
 A histogram divides the x axis into equally spaced bins and then uses the height of bar to display the number of observations that fall in each bin. In the graph above, the tallest bar shows that almost 30,000 observations have a $carat$ value between 0.25 and 0.75, which are the left and right edges of the bar. 
 
-You can set the width of the intervals in a histogram with the `binwidth` argument, which is measured in the units of the $x$ variable. You should always explore a variety of binwidths when working with histograms, as different binwidths can reveal different patterns. For example, here is how the graph above looks when we zoom into just the diamonds with a binwidth of less than three and choose a smaller binwidth.
+You can set the width of the intervals in a histogram with the `binwidth` argument, which is measured in the units of the $x$ variable. You should always explore a variety of binwidths when working with histograms, as different binwidths can reveal different patterns. For example, here is how the graph above looks when we zoom into just the diamonds with a size of less than three carats and choose a smaller binwidth.
 
 ```{r}
 smaller <- diamonds %>% filter(carat < 3)
@@ -163,7 +163,7 @@ Clusters of similar values suggest that subgroups exist in your data. To underst
 
 * Why might the appearance of clusters be misleading?
 
-The histogram shows the length (in minutes) of 272 eruptions of the Old Faithful Geyser in Yellowstone National Park. Eruption times appear to be clustered into two groups: there are short eruptions (of around 2 minutes) and long eruption (4-5 minutes), but little in between.
+The histogram shows the length (in minutes) of 272 eruptions of the Old Faithful Geyser in Yellowstone National Park. Eruption times appear to be clustered into two groups: there are short eruptions (of around 2 minutes) and long eruptions (4-5 minutes), but little in between.
 
 ```{r}
 ggplot(data = faithful, mapping = aes(x = eruptions)) +