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https://issues.apache.org/jira/browse/SPARK-13336?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-13336:
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Labels: bulk-closed features (was: features)
> Add non-numerical summaries to DataFrame.describe
> -------------------------------------------------
>
> Key: SPARK-13336
> URL: https://issues.apache.org/jira/browse/SPARK-13336
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Reporter: Ian Hellstrom
> Priority: Minor
> Labels: bulk-closed, features
>
> The DataFrame.describe method currently only returns statistics for numerical
> columns. It would be nice to see generic information that is non-statistical
> in nature yet often important to see, especially when assessing the quality
> of data:
> * MIN/MAX for any column, not just numerical ones
> * (approximate) DISTINCT COUNT (or percentage of all rows or sample)
> * (approximate) NULL COUNT (or percentage of all rows or sample)
> * (approximate) MODE (i.e. most common value of all rows or sample)
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