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RichOB's avatar
RichOB
Icon for Post Partisan rankPost Partisan
1 year ago
Solved

Measure for highest reason per month

Hi, using the table below, how can I get the highest Reason_Ended by month shown in the lower table, please?

 

End_DateCustomerReason_Ended
01/04/20241Too Expensive
01/04/20242Too Expensive
01/04/20243Hard To Use
01/04/20244Too Expensive
01/05/20245I'll Be Back 
01/05/20246I'll Be Back 
01/05/20247Too Expensive
01/05/20248Hard To Use
01/05/20249I'll Be Back 
01/06/202410Hard To Use
01/06/202411Too Expensive
01/06/202412Hard To Use
01/06/202413Hard To Use
01/07/202414Too Expensive
01/07/202415Too Expensive
01/07/202416I'll Be Back 
01/07/202417I'll Be Back 
01/07/202418Too Expensive
01/07/202419Too Expensive

 

MonthHighest_Reason_Ended
AprilToo Expensive
MayI'll Be Back
JuneHard To Use
JulyToo Expensive

 

Thanks

Need Help
  • v-sathmakuri's avatar
    v-sathmakuri
    1 year ago

    Hi RichOB ,

     

    Thank you for reaching out to Microsoft Fabric Community.

     

    Thank you johnt75  and bhanu_gautam  for the prompt response.

     

    first group the data by End_Date and Reason_Ended and get the count of rows and then apply rank for the result based on count for each month. once we got the count filter the data which is having the rank as 1. This will give your expected result. I have used power query to do this. Also attached pbix file for reference.

     

    let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjDUNTDRNTIwMlHSUTIE4pD8fAXXioLUvOLMslSlWB00JUaElRgDsUdiUYpCSL5CaDEWBSY4zTCFKTEFYs+YUgMDI/OcHAWnVAWnxOTsQwswFZoRq9CcsKUWOBwOV2BJwDIzeEAa4DAKoQJ3WCPUGBE0BVdYm8NV4A5shBpTItQQCmiESnOiVVoQYa8lpppYAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [End_Date = _t, Customer = _t, Reason_Ended = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"End_Date", type date}, {"Customer", Int64.Type}, {"Reason_Ended", type text}}),
    
    // Group by End_Date and Reason_Ended, counting rows
    #"Grouped Rows" = Table.Group(#"Changed Type", {"End_Date", "Reason_Ended"}, {{"Count", each Table.RowCount(_), Int64.Type}}),
    
    // Sort by End_Date ascending and Count descending (highest count first)
    #"Sorted" = Table.Sort(#"Grouped Rows", {{"End_Date", Order.Ascending}, {"Count", Order.Descending}}),
    
    // Group by End_Date to get nested tables of reasons per month
    GroupedByMonth = Table.Group(#"Sorted", {"End_Date"}, {{"AllData", each _, type table [End_Date=nullable date, Reason_Ended=nullable text, Count=Int64.Type]}}),
    
    // Add Rank (index starting at 1) in each grouped subtable
    AddRankPerGroup = Table.TransformColumns(
        GroupedByMonth,
        {"AllData", each Table.AddIndexColumn(_, "Rank", 1, 1, Int64.Type)}
    ),
    
    // Expand the grouped tables back into a flat table
    Expanded = Table.ExpandTableColumn(AddRankPerGroup, "AllData", {"Reason_Ended", "Count", "Rank"})
in
    Expanded

     

    PFBS for expected results: 

     

     

    If this post helps, then please consider Accepting as solution to help the other members find it more quickly, don't forget to give a "Kudos" – I’d truly appreciate it! 

     

    Thank you!!

7 Replies

  • bhanu_gautam's avatar
    bhanu_gautam
    Icon for Super User rankSuper User
    1 year ago

    RichOB 

    Create a new column to extract the month from the End_Date column. You can do this by using the following Month = FORMAT([End_Date], "MMMM")

     

    Create a new table to count the occurrences of each Reason_Ended by month. You can use the following DAX formula to create this table:

    ReasonCount =
    SUMMARIZE(
    'YourTable',
    'YourTable'[Month],
    'YourTable'[Reason_Ended],
    "Count", COUNT('YourTable'[Reason_Ended])
    )

     

    Create a new table to find the highest Reason_Ended by month.

    HighestReasonByMonth =
    ADDCOLUMNS(
    SUMMARIZE(
    'ReasonCount',
    'ReasonCount'[Month],
    "MaxCount", MAX('ReasonCount'[Count])
    ),
    "Highest_Reason_Ended",
    CALCULATE(
    MAX('ReasonCount'[Reason_Ended]),
    FILTER(
    'ReasonCount',
    'ReasonCount'[Month] = EARLIER('ReasonCount'[Month]) &&
    'ReasonCount'[Count] = EARLIER([MaxCount])
    )
    )
    )

     

    Visualize the results by creating a table visual in Power BI and adding the Month and Highest_Reason_Ended columns from the HighestReasonByMonth table.

     

  • johnt75's avatar
    johnt75
    Icon for Super User rankSuper User
    1 year ago

    If you're looking for the most frequent reason you can use

    Most frequent reason =
VAR SummaryTable =
    ADDCOLUMNS (
        SUMMARIZE ( 'Table', 'Date'[Year month], 'Table'[Reason_Ended] ),
        "@num", CALCULATE ( COUNTROWS ( 'Table' ) )
    )
VAR Result =
    SELECTCOLUMNS (
        TOPN ( 1, SummaryTable, [@num], DESC ),
        "@reason", 'Table'[Reason_Ended]
    )
RETURN
    Result
  • v-sathmakuri's avatar
    v-sathmakuri
    Icon for Community Support rankCommunity Support
    1 year ago

    Hi RichOB ,

     

    Thank you for reaching out to Microsoft Fabric Community.

     

    Thank you johnt75  and bhanu_gautam  for the prompt response.

     

    first group the data by End_Date and Reason_Ended and get the count of rows and then apply rank for the result based on count for each month. once we got the count filter the data which is having the rank as 1. This will give your expected result. I have used power query to do this. Also attached pbix file for reference.

     

    let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjDUNTDRNTIwMlHSUTIE4pD8fAXXioLUvOLMslSlWB00JUaElRgDsUdiUYpCSL5CaDEWBSY4zTCFKTEFYs+YUgMDI/OcHAWnVAWnxOTsQwswFZoRq9CcsKUWOBwOV2BJwDIzeEAa4DAKoQJ3WCPUGBE0BVdYm8NV4A5shBpTItQQCmiESnOiVVoQYa8lpppYAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [End_Date = _t, Customer = _t, Reason_Ended = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"End_Date", type date}, {"Customer", Int64.Type}, {"Reason_Ended", type text}}),
    
    // Group by End_Date and Reason_Ended, counting rows
    #"Grouped Rows" = Table.Group(#"Changed Type", {"End_Date", "Reason_Ended"}, {{"Count", each Table.RowCount(_), Int64.Type}}),
    
    // Sort by End_Date ascending and Count descending (highest count first)
    #"Sorted" = Table.Sort(#"Grouped Rows", {{"End_Date", Order.Ascending}, {"Count", Order.Descending}}),
    
    // Group by End_Date to get nested tables of reasons per month
    GroupedByMonth = Table.Group(#"Sorted", {"End_Date"}, {{"AllData", each _, type table [End_Date=nullable date, Reason_Ended=nullable text, Count=Int64.Type]}}),
    
    // Add Rank (index starting at 1) in each grouped subtable
    AddRankPerGroup = Table.TransformColumns(
        GroupedByMonth,
        {"AllData", each Table.AddIndexColumn(_, "Rank", 1, 1, Int64.Type)}
    ),
    
    // Expand the grouped tables back into a flat table
    Expanded = Table.ExpandTableColumn(AddRankPerGroup, "AllData", {"Reason_Ended", "Count", "Rank"})
in
    Expanded

     

    PFBS for expected results: 

     

     

    If this post helps, then please consider Accepting as solution to help the other members find it more quickly, don't forget to give a "Kudos" – I’d truly appreciate it! 

     

    Thank you!!

  • v-sathmakuri's avatar
    v-sathmakuri
    Icon for Community Support rankCommunity Support
    1 year ago

    Hi RichOB ,

     

    May I ask if the provided solution helped in resolving the issue? If so, please mark the helpful reply and accept it as the solution. This will be helpful for other community members who have similar problems to solve it faster.

     

    Thank you!!

  • v-sathmakuri's avatar
    v-sathmakuri
    Icon for Community Support rankCommunity Support
    1 year ago

    Hi RichOB ,

     

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

     

    Thank you!!

  • v-sathmakuri's avatar
    v-sathmakuri
    Icon for Community Support rankCommunity Support
    1 year ago

    Hi RichOB ,

     

    I hope the information provided is helpful. Feel free to reach out if you have any further questions or would like to discuss this in more detail. If responses provided answers your question, please accept it as a solution so other community members with similar problems can find a solution faster.

     

    Thank you!!