[GitHub] [arrow] nealrichardson commented on a change in pull request #10765: ARROW-13399: [R] Update dataset.Rmd vignette

[GitBox <gi...@apache.org>]

nealrichardson commented on a change in pull request #10765:
URL: https://github.com/apache/arrow/pull/10765#discussion_r674293424



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File path: r/vignettes/dataset.Rmd
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@@ -20,34 +20,36 @@ and what is on the immediate development roadmap.
 The [New York City taxi trip record data](https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page)
 is widely used in big data exercises and competitions.
 For demonstration purposes, we have hosted a Parquet-formatted version
-of about 10 years of the trip data in a public Amazon S3 bucket.
+of about ten years of the trip data in a public Amazon S3 bucket.
 
 The total file size is around 37 gigabytes, even in the efficient Parquet file
-format. That's bigger than memory on most people's computers, so we can't just
+format. That's bigger than memory on most people's computers, so you can't just
 read it all in and stack it into a single data frame.
 
-In Windows and macOS binary packages, S3 support is included.
-On Linux when installing from source, S3 support is not enabled by default,
+In Windows (for R > 3.6) and macOS binary packages, S3 support is included.
+On Linux, when installing from source, S3 support is not enabled by default,
 and it has additional system requirements.
 See `vignette("install", package = "arrow")` for details.
-To see if your `arrow` installation has S3 support, run
+To see if your __arrow__ installation has S3 support, run:
 
 ```{r}
 arrow::arrow_with_s3()
 ```
 
-Even with S3 support enabled network, speed will be a bottleneck unless your
+Even with an S3 support enabled network, speed will be a bottleneck unless your

Review comment:
       ```suggestion
   Even with S3 support enabled, network speed will be a bottleneck unless your
   ```




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