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<table style="width: 100%;"><tr><td>count {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
<h2>Count</h2>
<h3>Description</h3>
<p>Count the number of rows for each group when we have <code>GroupedData</code> input.
The resulting SparkDataFrame will also contain the grouping columns.
</p>
<p>This can be used as a column aggregate function with <code>Column</code> as input,
and returns the number of items in a group.
</p>
<h3>Usage</h3>
<pre><code class='language-R'>count(x)
n(x)
## S4 method for signature 'GroupedData'
count(x)
## S4 method for signature 'Column'
count(x)
## S4 method for signature 'Column'
n(x)
</code></pre>
<h3>Arguments</h3>
<table>
<tr style="vertical-align: top;"><td><code>x</code></td>
<td>
<p>a GroupedData or Column.</p>
</td></tr>
</table>
<h3>Value</h3>
<p>A SparkDataFrame.
</p>
<h3>Note</h3>
<p>count since 1.4.0
</p>
<p>count since 1.4.0
</p>
<p>n since 1.4.0
</p>
<h3>See Also</h3>
<p>Other aggregate functions:
<code><a href="../../SparkR/help/avg.html">avg</a>()</code>,
<code><a href="../../SparkR/help/column_aggregate_functions.html">column_aggregate_functions</a></code>,
<code><a href="../../SparkR/help/corr.html">corr</a>()</code>,
<code><a href="../../SparkR/help/cov.html">cov</a>()</code>,
<code><a href="../../SparkR/help/first.html">first</a>()</code>,
<code><a href="../../SparkR/help/last.html">last</a>()</code>
</p>
<h3>Examples</h3>
<pre><code class="r">## Not run:
##D count(groupBy(df, &quot;name&quot;))
## End(Not run)
## Not run: count(df$c)
## Not run: n(df$c)
</code></pre>
<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 3.2.2 <a href="00Index.html">Index</a>]</div>
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