How to do it...

To complete this recipe, do the following:

1. Create the following measures:

Jarque-Bera = 
    VAR __Table = 'R08_Table'
    VAR __Mean = AVERAGEX(__Table,[Values])
    VAR __StdDev = STDEVX.S(__Table,[Values])
    VAR __n = COUNTROWS(__Table)
    VAR __TableSkew = 
        ADDCOLUMNS(
            __Table,
            "__Skew",POWER(([Values]-__Mean),3)
        )
    VAR __Skewness = 
        DIVIDE(
            SUMX(__TableSkew,[__SKew]),
            POWER(__StdDev,3),0
        ) * DIVIDE(1,__n,0)
    VAR __TableKurtosis = 
        ADDCOLUMNS(
            __Table,
            "__Kurtosis",POWER(([Values]-__Mean),4)
        )
    VAR __Kurtosis = 
        DIVIDE(
            SUMX(__TableKurtosis,[__Kurtosis]),
            POWER(__StdDev,4),0
        ) * DIVIDE(1,__n,0)
    VAR __FirstPart = DIVIDE(__n,6,0)
    VAR __SecondPart = 
        POWER(__Skewness,2) + 
            1/4*(POWER(__Kurtosis - 3,2))
RETURN
    __FirstPart * __SecondPart

JB Type = 
    SWITCH(TRUE(),
        [Jarque-Bera]>0,"Not Normally Distributed",
        "Normally Distributed"
    )

2. On a Report page, create a Card visualization and place the Jarque-Bera measure into the Fields area of the visualization.
3. On the same Report page, create another Card visualization and place the JB Type measure into the Fields area of the visualization.
4. On the same Report page, create a Line chart visualization and place the Index column from the R08_Table table into the Axis area and the Values column from the R08_Table table into the Values area of the visualization.