Measure for highest reason per month

[RichOB]

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

End_Date	Customer	Reason_Ended
01/04/2024	1	Too Expensive
01/04/2024	2	Too Expensive
01/04/2024	3	Hard To Use
01/04/2024	4	Too Expensive
01/05/2024	5	I'll Be Back
01/05/2024	6	I'll Be Back
01/05/2024	7	Too Expensive
01/05/2024	8	Hard To Use
01/05/2024	9	I'll Be Back
01/06/2024	10	Hard To Use
01/06/2024	11	Too Expensive
01/06/2024	12	Hard To Use
01/06/2024	13	Hard To Use
01/07/2024	14	Too Expensive
01/07/2024	15	Too Expensive
01/07/2024	16	I'll Be Back
01/07/2024	17	I'll Be Back
01/07/2024	18	Too Expensive
01/07/2024	19	Too Expensive

Month	Highest_Reason_Ended
April	Too Expensive
May	I'll Be Back
June	Hard To Use
July	Too Expensive

Thanks

[Ashish_Excel]

Hi,

Download the PBI file from here.

Hope this helps.

[v-sathmakuri]

Hi @RichOB ,

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Thank you!!

[v-sathmakuri]

Hi @RichOB ,

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[v-sathmakuri]

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 · Accepted solution]

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!!

[johnt75]

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

[bhanu_gautam]

@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.