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Hi All, I have a column like this which contains 0-4 values from 6 of these values "A,B,C,D,E,F"
Input
Changes |
A,B,D,E |
A,E |
C |
C,E,A |
D |
I want a DAX to return the count of A,B,C,D,E,F
Like
A = 3
B=1
C=2
D=2
E=3
F=0
Solved! Go to Solution.
Hi @as5948
Please refer to attached sample file. In case you don't have the table of the unique changes then use
Then use the followig measure
Easy solution for beginner
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WctRx0nHRcVWK1QGxIbQzhNRx1XEEs1yUYmMB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Changes = _t]),
#"Split Column by Delimiter" = Table.ExpandListColumn(Table.TransformColumns(Source, {{"Changes", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), let itemType = (type nullable text) meta [Serialized.Text = true] in type {itemType}}}), "Changes"),
Count = Table.Group(#"Split Column by Delimiter", "Changes", {"Count", Table.RowCount})
in
Count
Expertise = List.Accumulate( {Days as from Today}, {Skills and Knowledge}, (Current, Everyday) => Current & Day.LearnAndPractise(Everyday) ) |
Easy solution for beginner
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WctRx0nHRcVWK1QGxIbQzhNRx1XEEs1yUYmMB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Changes = _t]),
#"Split Column by Delimiter" = Table.ExpandListColumn(Table.TransformColumns(Source, {{"Changes", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), let itemType = (type nullable text) meta [Serialized.Text = true] in type {itemType}}}), "Changes"),
Count = Table.Group(#"Split Column by Delimiter", "Changes", {"Count", Table.RowCount})
in
Count
Expertise = List.Accumulate( {Days as from Today}, {Skills and Knowledge}, (Current, Everyday) => Current & Day.LearnAndPractise(Everyday) ) |
Hi @as5948
Please refer to attached sample file. In case you don't have the table of the unique changes then use
Then use the followig measure
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