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https://issues.apache.org/jira/browse/SPARK-56286?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-56286:
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Labels: pull-request-available (was: )
> Add DataFrame.dataQuality API for column profiling in PySpark
> -------------------------------------------------------------
>
> Key: SPARK-56286
> URL: https://issues.apache.org/jira/browse/SPARK-56286
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 4.2.0
> Reporter: Sougata Pandit
> Priority: Minor
> Labels: pull-request-available
>
> This improvement proposes a new PySpark DataFrame API, `dataQuality()`, for
> exploratory dataset profiling.
> The API would return a DataFrame with one row per input column and one
> synthetic dataset-level row. It would include metrics such as row count,
> column count, total cells, non-null count, null count, null ratio, distinct
> count, min, max, and mode. For numeric columns, it would also include mean,
> standard deviation, and median.
> This is intended to simplify data quality inspection workflows that currently
> require users to compose multiple custom aggregations manually.
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