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https://issues.apache.org/jira/browse/SPARK-7243?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14527823#comment-14527823
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Apache Spark commented on SPARK-7243:
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User 'brkyvz' has created a pull request for this issue:
https://github.com/apache/spark/pull/5900
> Contingency table for DataFrames
> --------------------------------
>
> Key: SPARK-7243
> URL: https://issues.apache.org/jira/browse/SPARK-7243
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Reporter: Xiangrui Meng
> Assignee: Burak Yavuz
> Fix For: 1.4.0
>
>
> Create contingency table for two columns in a DataFrame. This is `table` in R
> and `crosstab` in pandas.
> ~~~
> df.stat.crosstab(col1, col2): DataFrame
> ~~~
> It returns a local DataFrame with "$col1_$col2" and values from col2 as the
> column names. Values from col1 become the values in the first column.
> If users want to ignore NA, they should filter NAs first.
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