merge different tables into one hierarchy table

[Anonymous]

Hi community,

could you help me merging these "available tables" into the "prefered table"?

The problem is, that we have multiple outcome for a single ID and aswell multiple actions with action costs for that single ID. The user needs a table, which only shows him the information related to the different IDs, as you see it in the "ID_table". Meaining we don't want a table which for example lists ID A1 multiple times for each outcome etc. 

Is it even possible to find a solution in this data model?

Thank you for your help!

[v-alq-msft · Accepted solution]

Hi, @Anonymous 

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

Key_Table:

Action_Table:

Outcome_Table:

I assume that you want to show the expected result in the table visual. You may create a calculated table as below.

Table = 
ADDCOLUMNS(
    DISTINCT(Key_Table[ID]),
    "Key",
    CONCATENATEX(
        CALCULATETABLE(
            DISTINCT(Key_Table[Key]),
            FILTER(
                Key_Table,
                [ID]=EARLIER(Key_Table[ID])
            )
        ),
        [Key],
        "
        "
    ),
    "Action",
    CONCATENATEX(
        CALCULATETABLE(
            DISTINCT(Action_Table[Action]),
            FILTER(
                Action_Table,
                [ID]=EARLIER(Key_Table[ID])
            )
        ),
        [Action],
        "
        "
    ),
    "Action_Cost",
    CONCATENATEX(
        CALCULATETABLE(
            DISTINCT(Action_Table[Action_Cost]),
            FILTER(
                Action_Table,
                [ID]=EARLIER(Key_Table[ID])
            )
        ),
        [Action_Cost],
        "
        "
    ),
    "Outcome",
    CONCATENATEX(
        CALCULATETABLE(
            DISTINCT(Outcome_Table[Outcome]),
            FILTER(
                Outcome_Table,
                [ID]=EARLIER(Key_Table[ID])
            )
        ),
        [Outcome],
        "
        "
    )
)

Result:

Best Regards

Allan

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

[Jimmy801]

Hello @Anonymous 

join first Action und Outcome and join Key with the joined action and outcome. Here an example

let
    KeyTable = 
    let
        Source = #table
        (
            {"ID","Key"},
            {
                {"A1","Key1"},	{"A1","Key2"},	{"A2","Key1"}
            }
        )
    in
        Source,

    ActionTable = 
    let
        Source = #table
        (
            {"ID","Action"},
            {
                {"A1","Action1"},	{"A1","Action2"},	{"A2","Action3"}
            }
        )
    in
        Source,
    
    OutComeTable = 
    let
        Source = #table
        (
            {"ID","Outcome"},
            {
                {"A1","Outcome1"},	{"A1","Outcome2"},	{"A2","Outcome3"}
            }
        )
    in
        Source,
    
    JoinActionWithOutCome = Table.NestedJoin
    (
        ActionTable,
        "ID",
        OutComeTable,
        "ID",
        "Outcome"
    ),
    JoinActionOutcom = Table.ExpandTableColumn(JoinActionWithOutCome, "Outcome", {"Outcome"}, {"Outcome"}),
    JoinKeyWithActionOutCome = Table.NestedJoin
    (
        KeyTable,
        "ID",
        JoinActionOutcom,
        "ID",
        "ActionOutcome"
    ),
    FinalTable = Table.ExpandTableColumn(JoinKeyWithActionOutCome, "ActionOutcome", {"Action", "Outcome"}, {"Action", "Outcome"})
in
    FinalTable

Copy paste this code to the advanced editor in a new blank query to see how the solution works. If this solution fits your need, copy and past a part of it and implement it in your query, or I could create a custom function what makes it easier to apply if you are not used that much to power query.

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

[CNENFRNL]

To my understanding, it's way much easier to use PowerPivot to produce such a pivot table by merely sereval drag&drop.

If you insist on Power Query, it takes some more click on the UI to join these tables one by one.