Forum Discussion

Anonymous's avatar
Anonymous
Not applicable
5 years ago
Solved

Problem with Count

I am struggling to count and Identify the products with more than one delivery days value. Here is a simple dataset: Here, Products A, C and E have more than one delivery days value, while product B...
Need Help
  • v-easonf-msft's avatar
    v-easonf-msft
    5 years ago

    Hi, Anonymous 

    Take a try  measure as below in your live connection model :

     

    Count = 
CALCULATE(
    COUNTROWS('Table 1'),
    FILTER(
        ALL('Table 1'),
        'Table 1'[Product] in DISTINCT('Table 1'[Product])
    )
)

     

     

     

    Best Regards,
    Community Support Team _ Eason

     

amitchandak's avatar
amitchandak
Icon for Super User rankSuper User
5 years ago

Anonymous , Try a measure like

countx(filter(summarize(Table, Table[product], "_1", distinctcount(Table[Delivery Days])),[_1] >1),[product])

  • Anonymous's avatar
    Anonymous
    Not applicable
    5 years ago

    Hi  Amitchandak,

    Thanks for the response, however the figure the formula derived is wrong. 

     

    amitchandak 

     

     

     

     

  • Anonymous's avatar
    Anonymous
    Not applicable
    5 years ago

    I missed and information, the Product and Delivery days are from different tables in the model! Sorry about not mentioning that earlier

    • amitchandak's avatar
      amitchandak
      Icon for Super User rankSuper User
      5 years ago

      Anonymous ,Can you share sample data and sample output in table format? Or a sample pbix after removing sensitive data.

    • v-easonf-msft's avatar
      v-easonf-msft
      Icon for Community Support rankCommunity Support
      5 years ago

      Hi, Anonymous 

      Take a try  measure as below in your live connection model :

       

      Count = 
CALCULATE(
    COUNTROWS('Table 1'),
    FILTER(
        ALL('Table 1'),
        'Table 1'[Product] in DISTINCT('Table 1'[Product])
    )
)

       

       

       

      Best Regards,
      Community Support Team _ Eason