drabastomek commented on a change in pull request #158:
URL: https://github.com/apache/arrow-site/pull/158#discussion_r743975442
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File path: _posts/2021-11-05-r-6.0.0.md
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+---
+layout: post
+title: Apache Arrow R 6.0.0 Release
+date: "2021-11-05"
+author: Nic Crane, Jonathan Keane, Neal Richardson
+categories: [release]
+---
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+
+We are excited to announce the recent release of version 6.0.0 of the Arrow R
package on CRAN. While we usually don't write a dedicated release blog post for
the R package, this one is special. There are a number of major new features in
this version, some of which we've been building up to for several years.
+
+# More dplyr support
+
+In version 0.16.0 (February 2020), we released the first version of the
Dataset feature, which allowed you to query multi-file datasets using
`dplyr::select()` and `filter()`. These tools allowed you to find a slice of
data in a large dataset that may not fit into memory and pull it into R for
further analysis. In version 4.0.0 earlier this year, we added support for
`mutate()` and a number of other dplyr verbs, and all year we've been adding
hundreds of functions you can use to transform and filter data in Datasets.
However, to aggregate, you'd still need to pull the data into R.
+
+## Grouped aggregation
+
+With `arrow` 6.0.0, you can now `summarise()` on Arrow data, both with or
without `group_by()`. These are supported both with in-memory Arrow tables as
well as across partitioned datasets. Most common aggregation functions are
supported: `n()`, `n_distinct()`, `min(),` `max()`, `sum()`, `mean()`, `var()`,
`sd()`, `any()`, and `all()`. `median()` and `quantile()` with one probability
are also supported and currently return approximate results using the t-digest
algorithm.
+
+As usual, Arrow will read and process data in chunks and in parallel when
possible to produce results much faster than one could by loading it all into
memory then processing. This allows for operations that wouldn't fit into
memory on a single machine.
+
+## Joins
+
+In addition to aggregation, Arrow also supports all of dplyr's mutating joins
(inner, left, right, and full) and filtering joins (semi and anti).
+
+Say I want to get a table of all the flights from JFK to Las Vegas Airport on
Review comment:
```suggestion
Suppose I want to get a table of all the flights from JFK to Las Vegas
Airport on
```
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