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Shivkanyabyale's avatar
Shivkanyabyale
Frequent Visitor
1 year ago
Solved

Getting text values with measure

I want to create a measure wich gives me the text values from column "Name of the customer" 
Say I currently have 4 tables for my use 
Client Table- [Client]contain list of my clients
Sales- [Amount]contain sales of my all clients specificaaly which uses ZIP software 
Credit-{Amount] contain sales of my all clients specificaaly which uses ZIP software 
Sales tally- [Amount] contain sales of my all clients specificaaly which uses tally software (it inclues [sales-credit] as my sale amount

I used measure 

sales=SUM('Sales tally'[Amount])+(SUM(Sales[Amount])-SUM(Credit[Amount]))
to get my total sales from any customer 


I am creting visual to see the top 5 name of the customer of my seleted client from clientTable
but i have client in different tables sales tally and sales i can use sales with my sales measure but how to get the top 5 customers of the seleted client which are in different table with measure
i want to create this isual with help of measure it this possible to do ?

  • DataNinja777's avatar
    DataNinja777
    1 year ago

    Hi Shivkanyabyale ,

     

    To create a clustered bar chart for the top 5 customers in Power BI without changing the data structure, you can achieve this using DAX measures. First, create a measure for total sales, which aggregates data from the different tables. For example, you can define the Total Sales measure as:

    Total Sales = SUM('Sales tally'[Amount]) + (SUM(Sales[Amount]) - SUM(Credit[Amount]))
    

    Next, create a measure to rank customers based on their total sales. This measure will virtually combine data from the different tables and rank customers dynamically. For instance:

    Customer Rank = 
    VAR CombinedData =
        UNION(
            SELECTCOLUMNS('Sales tally', "Customer", 'Sales tally'[Name of the customer], "SalesAmount", [Total Sales]),
            SELECTCOLUMNS(Sales, "Customer", Sales[Name of the customer], "SalesAmount", [Total Sales]),
            SELECTCOLUMNS(Credit, "Customer", Credit[Name of the customer], "SalesAmount", [Total Sales])
        )
    VAR FilteredClient = 
        FILTER(CombinedData, [Customer] IN DISTINCT('Client Table'[Client]))
    VAR RankedData = 
        ADDCOLUMNS(FilteredClient, "Rank", RANKX(FilteredClient, [SalesAmount], , DESC))
    RETURN
        RANKX(RankedData, [SalesAmount], , DESC)
    

    After ranking the customers, create another measure to filter only the top 5 customers. This measure will return the total sales value for customers in the top 5 and return blank for others. Define this measure as:

    Top 5 Sales = IF([Customer Rank] <= 5, [Total Sales], BLANK())
    

    Finally, add the "Name of the customer" column to the axis of your clustered bar chart and use the Top 5 Sales measure as the value. This will ensure the chart dynamically shows only the top 5 customers based on their sales values.

     

    Best regards,

3 Replies

  • Hi Shivkanyabyale ,

     

    If you need to create the visual without changing the current data structure, you can achieve this using DAX measures and relationships in your model.

    Here is the solution:

    First, create a measure to calculate total sales, combining values from all tables as you did:

    Total Sales = 
        SUM('Sales tally'[Amount]) +
        (SUM(Sales[Amount]) - SUM(Credit[Amount]))
    

    Next, create a measure to rank customers based on their sales. Since the customer names are in different tables, use UNION to bring them together virtually and calculate ranks.

    Top 5 Customers = 
    VAR CombinedData =
        UNION(
            SELECTCOLUMNS('Sales tally', "Customer", 'Sales tally'[Name of the customer], "SalesAmount", [Total Sales]),
            SELECTCOLUMNS(Sales, "Customer", Sales[Name of the customer], "SalesAmount", [Total Sales]),
            SELECTCOLUMNS(Credit, "Customer", Credit[Name of the customer], "SalesAmount", [Total Sales])
        )
    VAR FilteredClient = FILTER(CombinedData, [Customer] IN DISTINCT('Client Table'[Client]))
    VAR RankedData =
        ADDCOLUMNS(FilteredClient, "Rank", RANKX(FilteredClient, [SalesAmount], , DESC))
    VAR TopCustomers =
        FILTER(RankedData, [Rank] <= 5)
    RETURN
        CONCATENATEX(TopCustomers, [Customer], ", ")
    

    This measure will combine the customer names from all relevant tables, calculate their total sales, rank them, filter the top 5, and return their names as a comma-separated string for display in the visual.

    To create your visual:

    Use the Client Table as the slicer for selecting a client.
    Add the Top 5 Customers measure to a card or table visual.
    This approach ensures that you dynamically fetch the top 5 customers for the selected client, even though the customer data is scattered across multiple tables.

     

    Best regards,

     

    • Shivkanyabyale's avatar
      Shivkanyabyale
      Frequent Visitor

      Thank you so much for your response but i don't want to see top5 customers on scorecard , i want to create the cluster bar chart for top 5 cutomers 
      is it possible with measure without changing data structure 

       

      • DataNinja777's avatar
        DataNinja777
        Super User

        Hi Shivkanyabyale ,

         

        To create a clustered bar chart for the top 5 customers in Power BI without changing the data structure, you can achieve this using DAX measures. First, create a measure for total sales, which aggregates data from the different tables. For example, you can define the Total Sales measure as:

        Total Sales = SUM('Sales tally'[Amount]) + (SUM(Sales[Amount]) - SUM(Credit[Amount]))
        

        Next, create a measure to rank customers based on their total sales. This measure will virtually combine data from the different tables and rank customers dynamically. For instance:

        Customer Rank = 
        VAR CombinedData =
            UNION(
                SELECTCOLUMNS('Sales tally', "Customer", 'Sales tally'[Name of the customer], "SalesAmount", [Total Sales]),
                SELECTCOLUMNS(Sales, "Customer", Sales[Name of the customer], "SalesAmount", [Total Sales]),
                SELECTCOLUMNS(Credit, "Customer", Credit[Name of the customer], "SalesAmount", [Total Sales])
            )
        VAR FilteredClient = 
            FILTER(CombinedData, [Customer] IN DISTINCT('Client Table'[Client]))
        VAR RankedData = 
            ADDCOLUMNS(FilteredClient, "Rank", RANKX(FilteredClient, [SalesAmount], , DESC))
        RETURN
            RANKX(RankedData, [SalesAmount], , DESC)
        

        After ranking the customers, create another measure to filter only the top 5 customers. This measure will return the total sales value for customers in the top 5 and return blank for others. Define this measure as:

        Top 5 Sales = IF([Customer Rank] <= 5, [Total Sales], BLANK())
        

        Finally, add the "Name of the customer" column to the axis of your clustered bar chart and use the Top 5 Sales measure as the value. This will ensure the chart dynamically shows only the top 5 customers based on their sales values.

         

        Best regards,