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MintuBaruah
Helper III
Helper III

Multiple Occurrences

Hello @all

 

Example Table1:

Column1
13
13
13
15
18
3
14
2
2
2
18

 

From the above table, I want to identify the multiple occurrences(Frequency) of a value.

for eg in the case of "13" frequency should be "High" as it has more than two occurrences, "3" should have "Low" freq as it has only one occurrence and 18 should have "Normal" freq as it has two occurrences.

 

Please help resolve this issue.

 

Regards,

Mintu Baruah

2 ACCEPTED SOLUTIONS
Fowmy
Super User
Super User

@MintuBaruah 

Add a column and use it on a visual 

Freq = 

var __v = Table3[Column1] 
var __d = CALCULATE(COUNT(Table3[Column1]), Table3[Column1] = __v)
    
return
SWITCH(
    TRUE(),
    __d > 2 , "High",
    __d = 2 , "Normal",
    __d < 2 , "Low"
)

Fowmy_0-1627472449389.png

 



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View solution in original post

v-eqin-msft
Community Support
Community Support

Hi @MintuBaruah ,

 

I did it in two ways, please check.

 

  • Use DAX:

 

Frequency(DAX) =
VAR _count =
    CALCULATE ( COUNTROWS ( 'Table' ), ALLEXCEPT ( 'Table', 'Table'[Column1] ) )
RETURN
    SWITCH ( TRUE (), _count = 1, "Low", _count = 2, "Normal", _count >= 3, "High" )

 

Frequency(DAX).PNG

 

 

  • In Power Query:

1.Group by

Count group by.PNG

2. Add a Conditional Column:

Conditional column.PNG

Here is the whole M syntax:

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjRWitXBoEwhlAWYgoqZgCkjDBKkKhYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", Int64.Type}}),
    #"Grouped Rows" = Table.Group(#"Changed Type", {"Column1"}, {{"Count", each Table.RowCount(_), Int64.Type}, {"Expand", each _, type table [Column1=nullable number]}}),
    #"Expanded Expand" = Table.ExpandTableColumn(#"Grouped Rows", "Expand", {"Column1"}, {"Column1.1"}),
    #"Removed Columns" = Table.RemoveColumns(#"Expanded Expand",{"Column1.1"}),
    #"Added Custom" = Table.AddColumn(#"Removed Columns", "Frequency in PQ", each if [Count] = 1 then "Low" else if [Count] < 3 then "Normly" else "High")
in
    #"Added Custom"

 

Frequency(PQ).PNG

 

Best Regards,
Eyelyn Qin
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

View solution in original post

4 REPLIES 4
Fowmy
Super User
Super User

@MintuBaruah 

Did you try the suggested solution? If it works for you, please Accept it as a Solution, it will be useful for other users as well.

Do let me know if you have any queries 

 

Did I answer your question? Mark my post as a solution! and hit thumbs up


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Website LinkedIn PBI User Group

v-eqin-msft
Community Support
Community Support

Hi @MintuBaruah ,

 

I did it in two ways, please check.

 

  • Use DAX:

 

Frequency(DAX) =
VAR _count =
    CALCULATE ( COUNTROWS ( 'Table' ), ALLEXCEPT ( 'Table', 'Table'[Column1] ) )
RETURN
    SWITCH ( TRUE (), _count = 1, "Low", _count = 2, "Normal", _count >= 3, "High" )

 

Frequency(DAX).PNG

 

 

  • In Power Query:

1.Group by

Count group by.PNG

2. Add a Conditional Column:

Conditional column.PNG

Here is the whole M syntax:

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjRWitXBoEwhlAWYgoqZgCkjDBKkKhYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", Int64.Type}}),
    #"Grouped Rows" = Table.Group(#"Changed Type", {"Column1"}, {{"Count", each Table.RowCount(_), Int64.Type}, {"Expand", each _, type table [Column1=nullable number]}}),
    #"Expanded Expand" = Table.ExpandTableColumn(#"Grouped Rows", "Expand", {"Column1"}, {"Column1.1"}),
    #"Removed Columns" = Table.RemoveColumns(#"Expanded Expand",{"Column1.1"}),
    #"Added Custom" = Table.AddColumn(#"Removed Columns", "Frequency in PQ", each if [Count] = 1 then "Low" else if [Count] < 3 then "Normly" else "High")
in
    #"Added Custom"

 

Frequency(PQ).PNG

 

Best Regards,
Eyelyn Qin
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

Fowmy
Super User
Super User

@MintuBaruah 

Add a column and use it on a visual 

Freq = 

var __v = Table3[Column1] 
var __d = CALCULATE(COUNT(Table3[Column1]), Table3[Column1] = __v)
    
return
SWITCH(
    TRUE(),
    __d > 2 , "High",
    __d = 2 , "Normal",
    __d < 2 , "Low"
)

Fowmy_0-1627472449389.png

 



Did I answer your question? Mark my post as a solution! and hit thumbs up


Subscribe and learn Power BI from these videos

Website LinkedIn PBI User Group

amitchandak
Super User
Super User

@MintuBaruah , a measure like

 

measure = Switch(True(), count(Table[Column1]) >2, "High",

count(Table[Column1]) =2, "Normal",

"low"

)

 

or

measure =

var _1 = calculate(count(Table[Column1]),allexcept(Table, Table[Column1])

return

Switch(True(),  _1>2, "High",

 _1=2, "Normal",

"low"

)

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