Forum Discussion

Szokens's avatar
Szokens
Helper II
1 year ago
Solved

Calculated table column values changes on slicer selection

Hi, maybe someone will be able to advise. I have created field parameter as follows: Timeframe_table = {     ("Daily", NAMEOF('dmn_date'[calendar_date]), 0),     ("Monthly", NAMEOF('dmn_date'[la...
  • Szokens's avatar
    Szokens
    1 year ago

    Hi!

    This is actually fantastic, I have adapted your ideas into my use case and here is the output. One barchart changing dimensions and breakdown type dynamically ( example screenshots):

     

     

     

    Below I put formulas for each field I have included in the visual settings if anyone would be interested in this solution:

     

    i) X Axis - "Timeframe_Table[Timeframe]", field from disconnected field parameter table (data comes from date table related to our fact table in relation [dmn.date] 1 - * [dmn.email]):

    Timeframe_table = {
        ("Daily", NAMEOF('dmn_date'[calendar_date]), 0),
        ("Monthly", NAMEOF('dmn_date'[last_day_of_month]), 2),
        ("Weekly", NAMEOF('dmn_date'[last_day_of_week]), 1),
        ("Quarterly", NAMEOF('dmn_date'[last_day_of_quarter]), 3)
     
    ii) Y Axis - dmn.email[User_Count_by_Flag]
    User_Count_by_Flag =
    VAR SelectedFlag = SELECTEDVALUE(Timeframe_table[Parameter Order])
    VAR SelectedLegend = SELECTEDVALUE(LegendValues[Flag])
    VAR Result0 =
        SWITCH(
            SelectedFlag,
            0, CALCULATE(
                    DISTINCTCOUNT(dmn_email[sender_email]),
                    dmn_email[New/Old User day] = SelectedLegend
                ),
            1, CALCULATE(
                    DISTINCTCOUNT(dmn_email[sender_email]),
                    dmn_email[New/Old User week] = SelectedLegend
                ),
            2, CALCULATE(
                    DISTINCTCOUNT(dmn_email[sender_email]),
                    dmn_email[New/Old User month] = SelectedLegend
                ),
            3, CALCULATE(
                    DISTINCTCOUNT(dmn_email[sender_email]),
                    dmn_email[New/Old User quarter] = SelectedLegend
                )
        )
    VAR Result1 = DISTINCTCOUNT(dmn_email[sender_email])
    RETURN
    SWITCH([Selected_Breakdown_by],
    0,Result0,
    1,Result1)
     
    iii) Legend - "Parameter_Breakdown_By2[Parameter_Breakdown_By2]", field from disconnected field parameter table (data comes from another disconnected table, formula provided below + employee table related to our fact table in relationship like [v_sdp_dim_employee_curr] 1 - * [dmn_email] )
    Parameter_Breakdown_By2 = {
        ("New vs Returning", NAMEOF('LegendValues'[Flag]), 0),
        ("Business Area", NAMEOF('v_sdp_dim_employee_curr'[gcrs_busin_area_name]), 1)
    }
     
    Other required fields:
    iv) disconnected table as follows:
    LegendValues =
    DATATABLE(
    "Flag", STRING,
    {{"New"},{"Returning"}}
    )
     
    *i am not posting all formulas fields dmn_email[New/Old User...] just an example on "Weekly" field:
    v) Min sent date weekly = CALCULATE(MIN(dmn_date[last_day_of_week]),ALLEXCEPT(dmn_email,dmn_email[sender_email]))
     
    vi) New/Old User week =
    IF(related(dmn_date[last_day_of_week])>dmn_email[Min sent date weekly],"Returning","New")
     
    thanks again for support!
v-tejrama's avatar
v-tejrama
Community Support
1 year ago

Hi Szokens ,

Thanks for reaching out to the Microsoft fabric community forum.

 

Absolutely, this approach is achievable using the disconnected table technique in Power BI.
I replicated the scenario by creating a disconnected table named ColumnSelector with values C1 to C4 using the following DAX:

 

ColumnSelector = DATATABLE(
   "ColumnName", STRING,
   {
       {"C1"},
       {"C2"},
       {"C3"},
       {"C4"}
   }
)

 

This table powers a slicer, allowing users to select which column to analyze. I then developed two dynamic measures to count users flagged as "New" or "Returning" based on the selected column:

 

Count_New =
VAR sel = SELECTEDVALUE(ColumnSelector[ColumnName])
RETURN
   SWITCH(
       TRUE(),
       sel = "C1", CALCULATE(COUNTROWS(dmn_email), dmn_email[C1] = "New"),
       sel = "C2", CALCULATE(COUNTROWS(dmn_email), dmn_email[C2] = "New"),
       sel = "C3", CALCULATE(COUNTROWS(dmn_email), dmn_email[C3] = "New"),
       sel = "C4", CALCULATE(COUNTROWS(dmn_email), dmn_email[C4] = "New")
   )


Count_Returning =
VAR sel = SELECTEDVALUE(ColumnSelector[ColumnName])
RETURN
   SWITCH(
       TRUE(),
       sel = "C1", CALCULATE(COUNTROWS(dmn_email), dmn_email[C1] = "Returning"),
       sel = "C2", CALCULATE(COUNTROWS(dmn_email), dmn_email[C2] = "Returning"),
       sel = "C3", CALCULATE(COUNTROWS(dmn_email), dmn_email[C3] = "Returning"),
       sel = "C4", CALCULATE(COUNTROWS(dmn_email), dmn_email[C4] = "Returning")
   )


Next, I set up a static legend table:

 

LegendValues = DATATABLE(
   "Flag", STRING,
   {
       {"New"},
       {"Returning"}
   }
)


Finally, I consolidated the measures into one for the visual:

 

Final Count =
SWITCH(
   SELECTEDVALUE(LegendValues[Flag]),
   "New", [Count_New],
   "Returning", [Count_Returning]
)


By using the ColumnSelector slicer, placing LegendValues[Flag] in the legend or axis, and using Final Count as the value, users can easily switch between columns (C1–C4) and see accurate "New" vs "Returning" counts.
This method is highly effective, even though dynamic columns cannot be placed directly in the legend.

 

Please find the attached pbix file for your reference.

 

If the response has addressed your query, please Accept it as a solution and give a 'Kudos' so other members can easily find it.


Best Regards,
Tejaswi.
Community Support

 

 

  • Szokens's avatar
    Szokens
    Helper II
    1 year ago

    Hi v-tejrama , your solution is nice however it count rows for "New" or "Returning" from whole dmn_email table & specific C1-C4 column. I forgot to mention my vizual will have additional slicers like:

    dmn_email[sent_date],

    v_sdp_employee[business_title]

    v_sdp_employee[business_area],

    dmn_recipient[internal_external].

     

    relations:

    v_sdp_employee 1 - * dmn_email

    dmn_recipient 1 - * dmn_email

    This was one thing, second is that I think this disconnected table lost date info to which "New" / "Returning" flag is connected to (so when looking on day by day or month by month ect. like I mentioned initially I could connect these flags with specific dates).

    To have more background, C1 - C4 columns are actually date columns from dmn_date table (dmn_date 1 - * dmn_email) as follows:

    C1 - is specific calendar date

    C2 - is a last day of the week of C1

    C3 - is last day of the month of C1

    C4 - is last day of the quarter of C1

     

    Graph I would like to prepare and change dimnension to daily/weekly/monthly/quarterly dynamically, shall look like this:

     

     

     

    • v-tejrama's avatar
      v-tejrama
      Community Support
      1 year ago

      Hi Szokens ,

       

      Enable dynamic time granularity options (Daily, Weekly, Monthly, Quarterly) on the X-axis. Display user counts split by "New" and "Returning" based on different flag columns (C1–C4). Keep full filter context, including sent_date, business title, area, and internal/external. Address Power BI’s limitation regarding placing measures directly in the legend.

       

      FIELD PARAMETER FOR TIME AXIS (Already Set Up)
      Timeframe_table = {
          ("Daily", NAMEOF('dmn_date'[calendar_date]), 0),
          ("Monthly", NAMEOF('dmn_date'[last_day_of_month]), 2),
          ("Weekly", NAMEOF('dmn_date'[last_day_of_week]), 1),
          ("Quarterly", NAMEOF('dmn_date'[last_day_of_quarter]), 3)
      }

      Assign Timeframe_table[Timeframe] to the visual’s X-axis.

       

      CREATE DISCONNECTED FLAG SOURCE SELECTOR TABLE
      FlagSourceSelector = DATATABLE(
         "FlagSource", STRING,
         {
             {"C1"},
             {"C2"},
             {"C3"},
             {"C4"}
         }
      )

      Use this table in a slicer so users can choose which C column (C1–C4) to analyze.

       

      LEGEND TABLE
      LegendValues = DATATABLE(
         "Flag", STRING,
         {
             {"New"},
             {"Returning"}
         }
      )

      Use this table for the bar chart legend.

       

      FINAL MEASURE WITH CONTEXTUAL LOGIC
      User Count by Flag =
      VAR SelectedFlag = SELECTEDVALUE(FlagSourceSelector[FlagSource])
      VAR SelectedLegend = SELECTEDVALUE(LegendValues[Flag])
      VAR Result =
          SWITCH(
              SelectedFlag,
              "C1", CALCULATE(
                      DISTINCTCOUNT(dmn_email[user_id]),
                      dmn_email[C1_Flag] = SelectedLegend
                  ),
              "C2", CALCULATE(
                      DISTINCTCOUNT(dmn_email[user_id]),
                      dmn_email[C2_Flag] = SelectedLegend
                  ),
              "C3", CALCULATE(
                      DISTINCTCOUNT(dmn_email[user_id]),
                      dmn_email[C3_Flag] = SelectedLegend
                  ),
              "C4", CALCULATE(
                      DISTINCTCOUNT(dmn_email[user_id]),
                      dmn_email[C4_Flag] = SelectedLegend
                  )
          )
      RETURN Result

       

      Update C1_Flag, C2_Flag, etc. with your actual column names containing "New" or "Returning".

       

      VISUAL CONFIGURATION
      X-axis: Timeframe_table (calendar_date / week / month / quarter)

      Legend: LegendValues[Flag]
      Values: Measure: User Count by Flag

       

      Thank you.

      • v-tejrama's avatar
        v-tejrama
        Community Support
        1 year ago

        Hi Szokens ,

         

        I wanted to check if you had the opportunity to review the information provided. Please feel free to contact us if you have any further questions.

         

        Thank you.