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Hi everyone,
I was hoping you could share some guidance: I have a dataset with a large number of tables and am having issues with two specifically:
Table 1
| Date | Amt | Receipt | Manufacturer |
| 1-Jan | 15 | ABC | MFN 1: Part wert, MFN 3: Part ert |
| 2-Jan | 10 | DBC | MFN 1: Part xxx, MFN 4: Part dey |
| 3-Jan | 25 | BHY | |
| 4-Jan | 20 | YUH | MFN 5, MFN 1 |
| 5-Jan | 35 | EDG | MFN 4 |
| 6-Jan | 30 | UIO | Example 3 |
Table 2
| Manufacturer Name |
| MFN 1 |
| MFN 2 |
| MFN 3 |
| MFN 4 |
| MFN 5 |
I would like to create a relationship between Table 2 and Table 1, with a view to use the Manufacturer field from Table 2 in a slicer to identify, as an example, the total amount per potential manufacturer (understanding that the amount 15 would forever be listed against both "MFN 1" and "MFN 3". I would have other slicers from other tables and don't really have an ability to change the structure of Table 1, other than adding columns.
Any clever ideas?
Solved! Go to Solution.
Hi, @billybazinga
If you need to filter table data, you can consider applying a measure to visual filter pane.
Measure =
var a=IF(CONTAINSSTRING(MAX(Table1[Manufacturer]),MAX(Table2[Manufacturer Name])),1,0)
return IF(ISFILTERED(Table2[Manufacturer Name]),a,1)
Best Regards,
Community Support Team _ Eason
Hi, @billybazinga
If you need to filter table data, you can consider applying a measure to visual filter pane.
Measure =
var a=IF(CONTAINSSTRING(MAX(Table1[Manufacturer]),MAX(Table2[Manufacturer Name])),1,0)
return IF(ISFILTERED(Table2[Manufacturer Name]),a,1)
Best Regards,
Community Support Team _ Eason
I don't think creating a relationship is feasible. However you can create measures like
Amount =
SUMX (
Table1,
SUMX (
Table2,
IF (
CONTAINSSTRING ( Table1[Manufacturer], Table2[Manufacturer] ),
Table1[Amt]
)
)
)
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