class AutoPlotter extends AnyRef

The auto plotter contains methods for uploading a csv data and create a dashboard from its frame.

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Instance Constructors

  1. new AutoPlotter(facades: FacadeScope)(snapshot: SourceSnapshotInfo)

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. val _features: String
  5. val _indexed: String
  6. def approxCountDistinct(column: SourceDataDescriptionColumn): Long
  7. final def asInstanceOf[T0]: T0
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  8. def calculateCorrelationAgainstTarget(df: DataFrame, dataDescription: List[SourceDataDescriptionColumn], targetCol: String, top: Int): List[String]
  9. def clone(): AnyRef
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    @throws( ... ) @native() @HotSpotIntrinsicCandidate()
  10. val columns: List[ColumnType]
  11. val columnsCategorical: List[Categorical]
  12. def continuesPlot(col: String, targetCol: String): DashboardDisplay
  13. val countCategorical: Int
  14. val countNumerical: Int
  15. val countPlotAble: Int
  16. val countRows: Long
  17. val countTimeLike: Int
  18. def createDashboard(targetCol: String): DashboardContent
  19. final def eq(arg0: AnyRef): Boolean
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  20. def equals(arg0: Any): Boolean
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  21. def findLinearPlots(column: String): List[DashboardDisplay]
  22. val frame: DataFrame
  23. def frequencyPlot(col: String, targetCol: String): DashboardDisplay
  24. final def getClass(): Class[_]
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    @native() @HotSpotIntrinsicCandidate()
  25. def hashCode(): Int
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    @native() @HotSpotIntrinsicCandidate()
  26. final def isInstanceOf[T0]: Boolean
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  27. def isNumericalColumnIsCategorical[T](column: String)(implicit arg0: Numeric[T]): Boolean
  28. final def ne(arg0: AnyRef): Boolean
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  29. def newId(): String
  30. final def notify(): Unit
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    @native() @HotSpotIntrinsicCandidate()
  31. final def notifyAll(): Unit
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    @native() @HotSpotIntrinsicCandidate()
  32. def numericColumnIsCategorical(column: SourceDataDescriptionColumn): Boolean
  33. def orderCategoricalByImportance(categorical: List[Categorical], targetCol: String, top: Int): List[String]
  34. val source: SourceContent
  35. val sourceDataDescriptionColumns: List[SourceDataDescriptionColumn]
  36. def stringColumnHasFewerThanXUniques(frame: DataFrame, column: String, x: Int): Boolean
  37. final def synchronized[T0](arg0: ⇒ T0): T0
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  38. def toString(): String
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  39. final def wait(arg0: Long, arg1: Int): Unit
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  40. final def wait(arg0: Long): Unit
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  41. final def wait(): Unit
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  42. def wordCloud(columns: List[String]): DashboardDisplay

Deprecated Value Members

  1. def finalize(): Unit
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    @throws( classOf[java.lang.Throwable] ) @Deprecated
    Deprecated

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