Fix minor typos (#1274)
This commit is contained in:
parent
a857e3e396
commit
65e3a416b6
4
EDA.qmd
4
EDA.qmd
|
@ -384,7 +384,7 @@ The default appearance of `geom_freqpoly()` is not that useful for that sort of
|
|||
```{r}
|
||||
#| fig-alt: >
|
||||
#| Bar chart of cuts of diamonds showing large variability between the
|
||||
#| frenquencies of various cuts. Fair diamonds have the lowest frequency,
|
||||
#| frequencies of various cuts. Fair diamonds have the lowest frequency,
|
||||
#| then Good, then Very Good, then Premium, and then Ideal.
|
||||
|
||||
ggplot(diamonds, aes(x = cut)) +
|
||||
|
@ -506,7 +506,7 @@ One way to do that is to rely on the built-in `geom_count()`:
|
|||
#| fig-alt: >
|
||||
#| A scatterplot of color vs. cut of diamonds. There is one point for each
|
||||
#| combination of levels of cut (Fair, Good, Very Good, Premium, and Ideal)
|
||||
#| abd color (D, E, F, G, G, I, and J). The sizes of the points represent
|
||||
#| and color (D, E, F, G, G, I, and J). The sizes of the points represent
|
||||
#| the number of observations for that combination. The legend indicates
|
||||
#| that these sizes range between 1000 and 4000.
|
||||
|
||||
|
|
Loading…
Reference in New Issue