amoeba commented on PR #40148:
URL: https://github.com/apache/arrow/pull/40148#issuecomment-1998575396

   @thisisnic are you able to edit the PR? I don't think I can. Here's my patch 
that addresses my comments. This is also available on 
https://github.com/amoeba/arrow/tree/gh-35875-dgreiss-update-r-readme.
   
   ```patch
   diff --git a/r/README.md b/r/README.md
   index 8b6a050055..1f953a8e6f 100644
   --- a/r/README.md
   +++ b/r/README.md
   @@ -12,7 +12,7 @@
    
    The R `{arrow}` package provides access to many of the features of the 
[Apache Arrow C++ library](https://arrow.apache.org/docs/cpp/index.html) for R 
users. The goal of arrow is to provide an Arrow C++ backend to `{dplyr}`, and 
access to the Arrow C++ library through familiar base R and tidyverse 
functions, or `{R6}` classes.
    
   -To learn more about the Apache Arrow project, see the parent documentation 
of the [Arrow Project](https://arrow.apache.org/). The Arrow project provides 
functionality for a wide range of data analysis tasks to store, process and 
move data fast. See the [read/write article](articles/read_write.html) to learn 
about reading and writing data files, [data 
wrangling](article/data_wrangling.html) to learn how to use dplyr syntax with 
arrow objects, and the [function documentation](reference/acero.html) for a 
full list of supported functions within dplyr queries.
   +To learn more about the Apache Arrow project, see the parent documentation 
of the [Arrow Project](https://arrow.apache.org/). The Arrow project provides 
functionality for a wide range of data analysis tasks to store, process and 
move data fast. See the [read/write article](articles/read_write.html) to learn 
about reading and writing data files, [data 
wrangling](articles/data_wrangling.html) to learn how to use dplyr syntax with 
arrow objects, and the [function documentation](reference/acero.html) for a 
full list of supported functions within dplyr queries.
    
    ## Installation
    
   @@ -65,6 +65,18 @@ Additional features include:
    - Fine control over column types to work seamlessly with databases and data 
warehouses
    - Toolkit for building connectors to other applications and services that 
use Arrow
    
   +## What is Apache Arrow?
   +
   +Apache Arrow is a cross-language development platform for in-memory and
   +larger-than-memory data. It specifies a standardized language-independent
   +columnar memory format for flat and hierarchical data, organized for 
efficient
   +analytic operations on modern hardware. It also provides computational 
libraries
   +and zero-copy streaming, messaging, and interprocess communication.
   +
   +This package exposes an interface to the Arrow C++ library, enabling access 
to
   +many of its features in R. It provides low-level access to the Arrow C++ 
library
   +API and higher-level access through a dplyr backend and familiar R 
functions.
   +
    ## Arrow resources
    
    There are a few additional resources that you may find useful for getting 
started with arrow:
   @@ -85,7 +97,10 @@ the [Apache Arrow 
Community](https://arrow.apache.org/community/) page.
    If you encounter a bug, please file an issue with a minimal reproducible
    example on [GitHub issues](https://github.com/apache/arrow/issues).
    Log in to your GitHub account, click on **New issue** and select the type of
   -@@ -104,11 +92,8 @@ features\*\* section of the [Contributing to Apache
   +issue you want to create. Add a meaningful title prefixed with **`[R]`**
   +followed by a space, the issue summary and select component **R** from the
   +dropdown list. For more information, see the **Report bugs and propose
   +features** section of the [Contributing to Apache
    Arrow](https://arrow.apache.org/docs/developers/#contributing) page
    in the Arrow developer documentation.
    ```


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