Xiangrui Meng created SPARK-7243:
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Summary: 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
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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