Data restructuring: New column

[HenryJS]

Hello everyone

I have two tables (below)

I would like to create new columns in Table 1. One for each ''Location Rate Name' in Table 2.

The desired result is at the bottom. This has two new columns.

Table 1

Location ID

1512

1513

1514

Table 2

Location ID	Location rate name	Payment rate
1512	Standard day rate	430
1512	Weekend Shifts	350
1513	Standard day rate	430
1513	Weekend Shifts	350
1514	Standard day rate	430
1514	Weekend Shifts	350

TABLE 3 - Desired result

Location ID	Standard day rate	Weekend Shifts
1512	430	350
1513	430	350
1514	430	350

[V-lianl-msft]

Hi @HenryJS ,

Create table3 based on table1 using ADDCOLUMNS.

Table3 =
ADDCOLUMNS (
    'Table',
    "Standard day rate", SUMX (
        FILTER (
            'Table (2)',
            'Table'[Location ID] = 'Table (2)'[Location ID]
                && 'Table (2)'[Location rate name] = "Standard day rate"
        ),
        'Table (2)'[Payment rate]
    ),
    "Weekend Shifts", SUMX (
        FILTER (
            'Table (2)',
            'Table'[Location ID] = 'Table (2)'[Location ID]
                && 'Table (2)'[Location rate name] = "Weekend Shifts"
        ),
        'Table (2)'[Payment rate]
    )
)

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

[HenryJS]

@V-lianl-msft Hi,

I would like it to be additional columns onto table 1. Is it possible to do without stating the'Rate Names'. So it just picks up the differen strings and creates a new column for each one.

Cheers

[amitchandak]

@HenryJS , Try These two new column in Table 1

Standard day rate = maxx(filter(table2,table2[Location ID] =table1[Location ID] && table2[Location rate name] ="Standard day rate"),table2[Payment rate])
Weekend Shifts = maxx(filter(table2,table2[Location ID] =table1[Location ID] && table2[Location rate name] ="Weekend Shifts"),table2[Payment rate])

[HotChilli]

In Power query,

'Pivot' (on the Transform tab)  the 'Location Rate Name' column using 'Payment Rate' as the Value