Include/Exclude Slicer

[pstp]

I have a dataset and report showing data for weekly events. My date dimension table has a column designating week type for each date. There are only three options: normal, Christmas, and Easter. I would like to set up a filter that simply allows the user to include or exclude data from Christmas and Easter weeks. Is there an easy way to achieve this? Thanks!

[Icey · Accepted solution]

Hi @pstp ,

Try this:

1. Create a slicer table without any relationships with other tables.

Slicer Table:

SlicerValue

Include Christmas and Easter

Exclude Christmas and Easter

2. Create a measure.

Measure =
SWITCH (
    SELECTEDVALUE ( 'Slicer Table'[SlicerValue] ),
    "Include Christmas and Easter", COUNTROWS ( Dates ),
    "Exclude Christmas and Easter",
        CALCULATE (
            COUNTROWS ( Dates ),
            FILTER (
                ALLSELECTED ( Dates ),
                Dates[WeekType] = MAX ( Dates[WeekType] )
                    && Dates[WeekType] = "Normal"
            )
        )
)

3. Use the measure as "filters on this visual".

4. Test.

Best Regards,

Icey

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[avawhittington]

This is Awesome. I am trying to do something similar.. I have a dataset with partners and their activities essentialy. I want the same idea, where you have a slicer when selected it shows all the partners except a certain partner... Lets say " PartnerName" and when it is not selected it shows all the partners. I was hoping to add it to a few different types of visuals in power bi. 

[Fowmy]

@pstp 

You can insert a Slicer on the report and add the week type column which will allow the user to filter as needed.

[pstp]

@Fowmy That is what I currently have. It has been asked that it change to a single select, where the two options are Include or Exclude. I don't know how to ensure "Normal" weeks are included in both options.

[Fowmy]

@pstp 

You can either change the slicer selection option  to allow multi-select or right click on the week type filed and group it in to two categories Normal and Other Two