Contents x
      zscore
      • 1 Minute to read
      • Print
      • Dark
        Light
      • PDF
      Contents

      zscore

      • 1 Minute to read
      • Print
      • Dark
        Light
      • PDF
      Article summary

      Returns the Z-score for the current row and result set

      Purpose

      Use this function to: 

      • Measure the distance of the observation from the average
      • Calculate the standardized distance from the mean

      Calculation

      z = standard score

      x = observed value (RowX)

      μ = mean of population

      σ = standard deviation of the population

      where


      μ = Sum(RowN:Row0) / N

      N = number of rows in result set

      Sample Result

      Parameters

      ParameterDescription
      DimensionsDiscrete field(s).    All fields must come from the same table.
      NameName to be displayed as Column Header in result grid
      Measure

      The field to be used in the post-function calculation.

      • Must be numeric if Function is anything other than COUNT.
      • Must come from same table as DIMENSIONS.
      • Supports Discrete or Continuous DataTypes.
      FunctionCOUNT / SUM / AVG / MIN / MAX / STDEV
      Postzscore
      Value

      Optional.   Filter to apply when evaluating FUNCTION.   Only records in the Filter Recordset will be included in the Function and Post-Function calculations.

      Must come from same table as DIMENSION/MEASURE or be linked to the Dimension table.

      Axis0 / 1.    Y-Axis to use when plotting graph.     Default = 0
      PlotY / N.   Specifies whether measure’s output column should be plotted on graph.  Default = Y
      ResolveOptional.   Resolve level for the measure.   If blank, Resolve = Dimension Table
      Series Type

      Default / Bar / Stacked Bar / Line / Spline / RangeLow / RangeHigh / CSLow / CSHigh / CSOpen / CSClose

      Determines the graph style for the measure.

      PopupDefault / None / Extended
      Prefix$ / £ / E / %

      Usage Notes

      A Z-score is a numerical measurement that describes a value's relationship to the mean of a group of values. Z-score is measured in terms of standard deviations from the mean. If a Z-score is 0, it indicates that the data point's score is identical to the mean score. A Z-score of 1.0 would indicate a value that is one standard deviation from the mean. Z-scores may be positive or negative, with a positive value indicating the score is above the mean and a negative score indicating it is below the mean.

       


      Example

      • Example use: calculating the standardized distance from the mean

      NOTE: Measure 1 is included purely for illustration. It is not necessary to include this measure for the calculation to work.


      Dimension:[transactions].[date]

      Measure 1

      • Name: = sum sales
      • Measure:  = transactions.castprice
      • Function: = sum
      • Post: =
      • Value: =
      • Axis: =0
      • Plot:=Y
      • Resolve:=
      • Series Type:=Default
      • Popup:=Default
      • Prefix:=

      Measure 2

      • Name: = z score
      • Measure:  = transactions.castprice
      • Function: = sum
      • Post: = zscore
      • Value: =
      • Axis: =0
      • Plot:=Y
      • Resolve:=
      • Series Type:=Default
      • Popup:=Default
      • Prefix:=

      Options

      • Row Count = 30
      • Sort Order: [Ascending Label]



      Was this article helpful?
      What's Next