I have a table 'Leads'. It has a has-many-through relationship with table labels

[Anonymous]

I have a table leads

ID	name	email
123	john doe	johndoe@xyz.com

It has a has-many-through association with labels table.

ID	name
456	test

The association is through labelings table.

ID	lead_id	label_id
1	123	456

Now when I try to create a table visual, a lead having more than 1 labels is shown in different rows.

What should i do so that a lead with more than 1 label only has 1 row with associated labels as an array or just comma separated ?

[v-alq-msft]

Hi, @Anonymous 

Based on your description, I created data to reproduce your scenario. The pbix file is attached in the end.

Labels:

Leads:

Association:

You may create a measure or a column as below.

Measure:

Measure = 
CONCATENATEX(
    FILTER(
        Labels,
        [ID]=MAX(Association[Label_id])
    ),
    [Name],
    ","
)

Column:

Column = 
CONCATENATEX(
    FILTER(
        Labels,
        [ID]=EARLIER(Association[Label_id])
    ),
    [Name],
    ","
)

Or you can create a calculated table with the following dax.

Table = 
ADDCOLUMNS(
    DISTINCT(Association[Lead_id]),
    "Label Names",
    var lid = LOOKUPVALUE(Association[Label_id],Association[Lead_id],[Lead_id])
    return
    CONCATENATEX(
        FILTER(
            Labels,
            [ID]=lid
        ),
        [Name],
        ","
    )
)

Result:

Best Regards

Allan

If this post helps,then consider Accepting it as the solution to help other members find it faster.

[Jimmy801]

Hello @Anonymous 

you can transform you data with power query. First Join to the association-table, then the lable.table. Afterwards use Table.Group to combine your labels.text to one string. Here the code

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjQyVtJRysrPyFNIyU+FMoEsh4rKKr3k/Fyl2FgA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [ID = _t, name = _t, email = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"ID", Int64.Type}, {"name", type text}, {"email", type text}}),
    #"Merged Queries" = Table.NestedJoin(#"Changed Type", {"ID"}, association, {"lead_id"}, "association", JoinKind.LeftOuter),
    #"Expanded association" = Table.ExpandTableColumn(#"Merged Queries", "association", {"label_id"}, {"label_id"}),
    #"Merged Queries1" = Table.NestedJoin(#"Expanded association", {"label_id"}, lable, {"ID"}, "lable", JoinKind.LeftOuter),
    #"Expanded lable" = Table.ExpandTableColumn(#"Merged Queries1", "lable", {"name"}, {"name.1"}),
    #"Grouped Rows" = Table.Group(#"Expanded lable", {"ID", "name", "email"}, {{"Lable names", each Text.Combine(_[#"name.1"], ", "), type text}})
in
    #"Grouped Rows"

Copy paste this code to the advanced editor in a new blank query to see how the solution works.

If this post helps or solves your problem, please mark it as solution (to help other users find useful content and to acknowledge the work of users that helped you)
Kudoes are nice too

Have fun

Jimmy

[Jimmy801]

You can use also a measure or a new column to do that in Dax

LabelNames = CALCULATE(CONCATENATEX(lable,lable[name], ", "),filter(values(lable[ID]),COUNTROWS(RELATEDTABLE(association))>0))

If this post helps or solves your problem, please mark it as solution (to help other users find useful content and to acknowledge the work of users that helped you)
Kudoes are nice too

Have fun

Jimmy

[Anonymous]

I implemented the DAX query, but it didn't work. All the labels got accumulated in the total row.

[Jimmy801 · Accepted solution]

Hello @Anonymous 

if you don't want to have this as measure, then add a new column to your leads-table with exactly the same code as I wrote in my post

If this post helps or solves your problem, please mark it as solution (to help other users find useful content and to acknowledge the work of users that helped you)
Kudoes are nice too

Have fun

Jimmy

[lbendlin]

Show your data model. "Leads" and "Labels"  should be the "dimension"  tables and "Associations" the "fact" table.