From 0690df9f103ad7548cd9752fa33411cefbeb5577 Mon Sep 17 00:00:00 2001 From: Teun van den Brand Date: Tue, 17 Dec 2024 14:33:28 +0100 Subject: [PATCH] link blog --- README.Rmd | 10 ++++++++-- README.md | 17 ++++++++++------- 2 files changed, 18 insertions(+), 9 deletions(-) diff --git a/README.Rmd b/README.Rmd index f546e5dc22..8c601f59ea 100644 --- a/README.Rmd +++ b/README.Rmd @@ -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 @@ -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 @@ -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/ diff --git a/README.md b/README.md index 7fa139829b..3683108c63 100644 --- a/README.md +++ b/README.md @@ -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 @@ -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