trait DataUtils extends Serializable with WithHelpMethods

DataUtils provides utilities for understanding and interpreting datasets. This module is currently in preview and may be unstable.

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Abstract Value Members

  1. abstract def help(moduleOrMethod: String): Unit
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    WithHelpMethods
  2. abstract def help(): Unit
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    WithHelpMethods
  3. abstract def summarize(df: Any, precise: Boolean = false): Unit

    Summarize a Spark DataFrame and visualize the statistics to get quick insights.

    Summarize a Spark DataFrame and visualize the statistics to get quick insights.

    Example:

    dbutils.data.summarize(df, precise=false)
    df

    The dataframe to summarize. Streaming dataframes are not supported.

    precise

    If false, percentiles, distinct item counts, and frequent item counts will be computed approximately to reduce the run time. If true, distinct item counts and frequent item counts will be computed exactly, and percentiles will be computed with high precision.

    returns

    visualization of the computed summmary statistics. Summarize a DataFrame and visualize the statistics to get quick insights.

Concrete Value Members

  1. final def !=(arg0: Any): Boolean
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  2. final def ##: Int
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  3. final def ==(arg0: Any): Boolean
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  4. final def apply(): DataUtils.this.type
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  5. final def asInstanceOf[T0]: T0
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  6. def clone(): AnyRef
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  9. def finalize(): Unit
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  10. final def getClass(): Class[_ <: AnyRef]
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  12. final def isInstanceOf[T0]: Boolean
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  13. final def ne(arg0: AnyRef): Boolean
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  14. final def notify(): Unit
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  15. final def notifyAll(): Unit
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  16. final def synchronized[T0](arg0: => T0): T0
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  17. def toString(): String
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  18. final def wait(): Unit
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  19. final def wait(arg0: Long, arg1: Int): Unit
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  20. final def wait(arg0: Long): Unit
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