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Link to freely available ggplot2 book 

Fixes #995. Fixes #992.
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Hadley Wickham 2022-04-27 09:32:56 -05:00
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@ -143,7 +143,7 @@ ggplot(data = smaller, mapping = aes(x = carat, colour = cut)) +
geom_freqpoly(binwidth = 0.1)
```
There are a few challenges with this type of plot, which we will come back to in visualizing[ a categorical and a continuous variable](#cat-cont).
There are a few challenges with this type of plot, which we will come back to in visualizing[a categorical and a continuous variable](#cat-cont).
Now that you can visualize variation, what should you look for in your plots?
And what type of follow-up questions should you ask?
@ -681,9 +681,8 @@ diamonds |>
## Learning more
If you want to learn more about the mechanics of ggplot2, I'd highly recommend grabbing a copy of the ggplot2 book: <https://amzn.com/331924275X>.
It's been recently updated, so it includes dplyr and tidyr code, and has much more space to explore all the facets of visualization.
Unfortunately the book isn't generally available for free, but if you have a connection to a university you can probably get an electronic version for free through SpringerLink.
If you want to learn more about the mechanics of ggplot2, I'd highly recommend reading the [ggplot2 book](https://ggplot2-book.org).
It's been recently updated and has much more space to explore all the facets of visualization.
Another useful resource is the [*R Graphics Cookbook*](https://amzn.com/1449316956) by Winston Chang.
Much of the contents are available online at <http://www.cookbook-r.com/Graphs/>.