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I want to create a slicer filter where i can filter by count of accounts ? creating a parameter and measure to filter was not succesful filteration as it took lot of time . how can i created numeric slicer with mentioned info
Hi @utkarshshastri,
Thank you for sharing the relationship details — that helps a lot.
Based on your model (Marketo_Campaign_Activity → Marketo_Leads via LEAD_ID ↔ SRC_LEAD_IDN`), you can try creating a summarized table instead of using a measure. This approach improves performance and enables a numeric “Between” slicer directly.
Lead_Count_Summary =
SUMMARIZE (
'Marketo_Leads',
'Marketo_Leads'[LEAD_MAIL_DMN_NME],
"LeadCount", COUNTROWS (RELATEDTABLE('Marketo_Campaign_Activity'))
)
Once after creating please do the following :
Please note, since screenshots don’t include the data rows or DAX error details, we can’t fully reproduce the issue on our side, but the logic above aligns with your model structure.
If you still face an issue, kindly share the exact error message or a few sample rows to help validate further.
Thank you.
Hi @utkarshshastri ,
Thank you for reaching out to the Microsoft fabric community forum.
Could you please let us know if the issue has been resolved? I wanted to check if you had the opportunity to review the information provided by @grazitti_sapna . If you still require support, please let us know, we are happy to assist you.
Thank you.
hi @v-tsaipranay not able use the below mentioned DAX , please use my SS to give me solution , let me know what is more required
Hi @utkarshshastri,
Create a summary table in DAX:
Account_Count_Summary =
SUMMARIZE(
'Accounts',
'Accounts'[Hospital Name],
"AccountCount", COUNT('Accounts'[AccountID]),
"TotalSales", SUM('Accounts'[Sales])
)
Go to Model view.
Create a relationship if needed (or use it standalone).
Add a numeric slicer:
Add AccountCount from Account_Count_Summary.
Set slicer type to Between.
Use this table in your bubble chart:
X-axis: [QoQ Growth] or any measure.
Y-axis: [AccountCount].
Size: [TotalSales].
Category: [Quadrant Category].
This way, the slicer filters already aggregated data, which is instant.
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