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🔗 Link out to tidyverse blog #6246

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🔗 Link out to tidyverse blog #6246

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10 changes: 8 additions & 2 deletions README.Rmd
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Expand Up @@ -70,7 +70,7 @@ If you are looking for innovation, look to ggplot2's rich ecosystem of extension

## Learning ggplot2

If you are new to ggplot2 you are better off starting with a systematic introduction, rather than trying to learn from reading individual documentation pages. Currently, there are three good places to start:
If you are new to ggplot2 you are better off starting with a systematic introduction, rather than trying to learn from reading individual documentation pages. Currently, there are several good places to start:

1. The [Data Visualization][r4ds-vis] and
[Communication][r4ds-comm] chapters in
Expand All @@ -92,7 +92,12 @@ If you are new to ggplot2 you are better off starting with a systematic introduc
by Winston Chang. It provides a set of recipes to solve common
graphics problems.

If you've mastered the basics and want to learn more, read [ggplot2: Elegant Graphics for Data Analysis][ggplot2-book]. It describes the theoretical underpinnings of ggplot2 and shows you how all the pieces fit together. This book helps you understand the theory that underpins ggplot2, and will help you create new types of graphics specifically tailored to your needs.
1. If you've mastered the basics and want to learn more, read [ggplot2: Elegant Graphics for Data Analysis][ggplot2-book].
It describes the theoretical underpinnings of ggplot2 and shows you how all the pieces fit together.
This book helps you understand the theory that underpins ggplot2,
and will help you create new types of graphics specifically tailored to your needs.

1. For articles about announcements and deep-dives you can visit the [tidyverse blog][blog].

## Getting help

Expand All @@ -114,3 +119,4 @@ There are two main places to get help with ggplot2:
[r4ds-vis]: https://r4ds.hadley.nz/data-visualize
[r4ds-comm]: https://r4ds.hadley.nz/communication
[oreilly]: https://learning.oreilly.com/videos/data-visualization-in/9781491963661/
[blog]: https://www.tidyverse.org/tags/ggplot2/
17 changes: 10 additions & 7 deletions README.md
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Expand Up @@ -74,7 +74,7 @@ extensions. See a community maintained list at

If you are new to ggplot2 you are better off starting with a systematic
introduction, rather than trying to learn from reading individual
documentation pages. Currently, there are three good places to start:
documentation pages. Currently, there are several good places to start:

1. The [Data Visualization](https://r4ds.hadley.nz/data-visualize) and
[Communication](https://r4ds.hadley.nz/communication) chapters in [R
Expand All @@ -97,12 +97,15 @@ documentation pages. Currently, there are three good places to start:
Cookbook](https://r-graphics.org) by Winston Chang. It provides a
set of recipes to solve common graphics problems.

If you’ve mastered the basics and want to learn more, read [ggplot2:
Elegant Graphics for Data Analysis](https://ggplot2-book.org). It
describes the theoretical underpinnings of ggplot2 and shows you how all
the pieces fit together. This book helps you understand the theory that
underpins ggplot2, and will help you create new types of graphics
specifically tailored to your needs.
5. If you’ve mastered the basics and want to learn more, read [ggplot2:
Elegant Graphics for Data Analysis](https://ggplot2-book.org). It
describes the theoretical underpinnings of ggplot2 and shows you how
all the pieces fit together. This book helps you understand the
theory that underpins ggplot2, and will help you create new types of
graphics specifically tailored to your needs.

6. For articles about announcements and deep-dives you can visit the
[tidyverse blog](https://www.tidyverse.org/tags/ggplot2/).

## Getting help

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