Polish preface

Author: hadley

preface-2e.qmd

@@ -11,21 +11,21 @@ A brief summary of the biggest changes follows:
 
 -   The second part of the book is "Visualize".
     This part gives data visualization tools and best practices a more thorough coverage compared to the first edition.
+    The best place to get all the details is still the [ggplot2 book](http://ggplot2-book.org/), but now R4DS covers more of the most important techniques.
 
 -   The third part of the book is now called "Transform" and gains new chapters on numbers, logical vectors, and missing values.
-    These were previously parts of the data transformation chapter, but needed much more room.
+    These were previously parts of the data transformation chapter, but needed much more room to cover all the details.
 
 -   The fourth part of the book is called "Import".
-    It's a new set of chapters that goes beyond reading flat text files to now embrace working with spreadsheets, getting data out of databases, working with big data, rectangling hierarchical data, and scraping data from web sites.
+    It's a new set of chapters that goes beyond reading flat text files to working with spreadsheets, getting data out of databases, working with big data, rectangling hierarchical data, and scraping data from web sites.
 
--   The "Program" part continues, but has been rewritten from top-to-bottom to focus on the most important parts of function writing and iteration.
-    Function writing now includes sections on how to wrap tidyverse functions (dealing with the challenges of tidy evaluation), since this has become much easier over the last few years.
-    We've added a new chapter on important Base R functions that you're likely to see when reading R code found in the wild.
+-   The "Program" part remains, but has been rewritten from top-to-bottom to focus on the most important parts of function writing and iteration.
+    Function writing now includes details on how to wrap tidyverse functions (dealing with the challenges of tidy evaluation), since this has become much easier and more important over the last few years.
+    We've added a new chapter on important base R functions that you're likely to see in wild-caught R code.
 
 -   The modeling part has been removed.
     We never had enough room to fully do modelling justice, and there are now much better resources available.
     We generally recommend using the [tidymodels](https://www.tidymodels.org/) packages and reading [Tidy Modeling with R](https://www.tmwr.org/) by Max Kuhn and Julia Silge.
 
--   The communicate part continues as well, but features Quarto instead of R Markdown as the tool of choice for authoring reproducible computational documents.
-
-Other changes include switching from magrittr's pipe (`%>%`) to the base pipe (`|>`) and switching the book's source from RMarkdown to Quarto.
+-   The communicate part remains, but has been thoroughly updated to feature Quarto instead of R Markdown.
+    This edition of the book has been written in quarto, and it's clearly the tool of the future.