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scotteh-bi
New Member

array to filter

Hi

I have a standard column with array data like;

a

a,b,c

b,c

a


hoping to create a filter - flattened for users to select single values 

the filter would present as flattened and unique only

b

c


and for example a filter by "c" would return 3 rows

Help please 😛 
thank you!



1 ACCEPTED SOLUTION
edhans
Community Champion
Community Champion

In Power Query, just split this column by the comma delimiter into rows, then remove duplicates. Here is the code:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WSlSK1QGSOkk6yWAWjAaKxwIA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column = _t]),
    #"Split Column by Delimiter" = Table.ExpandListColumn(Table.TransformColumns(Source, {{"Column", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), let itemType = (type nullable text) meta [Serialized.Text = true] in type {itemType}}}), "Column"),
    #"Removed Duplicates" = Table.Distinct(#"Split Column by Delimiter")
in
    #"Removed Duplicates"

Turns this:

edhans_0-1626884501492.png

into this, which can be used for your slicer.

edhans_1-1626884522369.png

 

How to use M code provided in a blank query:
1) In Power Query, select New Source, then Blank Query
2) On the Home ribbon, select "Advanced Editor" button
3) Remove everything you see, then paste the M code I've given you in that box.
4) Press Done
5) See this article if you need help using this M code in your model.

 



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DAX is for Analysis. Power Query is for Data Modeling


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MCSA: BI Reporting

View solution in original post

4 REPLIES 4
scotteh-bi
New Member

or should I just use original column transformed?

scotteh-bi
New Member

Yeh i got that far 

didn't realise once in the new table I could join as many to many to underlying column(tags) and use as filter

thanks
seems to be working well thanks

 

 

Without seeing the data and model not sure I can answer that, other than to say I'd avoid M2M relationships if possible. A 1 to Many is much better.

Microsoft recommends minimizing use of both Many-to-Many and Bi-Directional Relationships. In other words, unless you are a DAX expert, find another way to remodel your data to conform to a Star Schema and don't use these two features. I avoid them both at all costs.
Microsoft Guidance on Many-To-Many Relationships



Did I answer your question? Mark my post as a solution!
Did my answers help arrive at a solution? Give it a kudos by clicking the Thumbs Up!

DAX is for Analysis. Power Query is for Data Modeling


Proud to be a Super User!

MCSA: BI Reporting
edhans
Community Champion
Community Champion

In Power Query, just split this column by the comma delimiter into rows, then remove duplicates. Here is the code:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WSlSK1QGSOkk6yWAWjAaKxwIA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column = _t]),
    #"Split Column by Delimiter" = Table.ExpandListColumn(Table.TransformColumns(Source, {{"Column", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), let itemType = (type nullable text) meta [Serialized.Text = true] in type {itemType}}}), "Column"),
    #"Removed Duplicates" = Table.Distinct(#"Split Column by Delimiter")
in
    #"Removed Duplicates"

Turns this:

edhans_0-1626884501492.png

into this, which can be used for your slicer.

edhans_1-1626884522369.png

 

How to use M code provided in a blank query:
1) In Power Query, select New Source, then Blank Query
2) On the Home ribbon, select "Advanced Editor" button
3) Remove everything you see, then paste the M code I've given you in that box.
4) Press Done
5) See this article if you need help using this M code in your model.

 



Did I answer your question? Mark my post as a solution!
Did my answers help arrive at a solution? Give it a kudos by clicking the Thumbs Up!

DAX is for Analysis. Power Query is for Data Modeling


Proud to be a Super User!

MCSA: BI Reporting

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