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Hi All,
I am trying to map the equipment name from Table B to Table A
See short example below, however the data file im actually using will have 10000+ rows
Table A
| Equipment ID | Equipment Tag |
1000 | ABC-01 |
| 1001 | DEF-02 |
| 1002 | ABC-03 |
| 1003 | JKL-04 |
TABLE B
Equipment Name | Equipment Parameter 1 | Equipment Parameter 2 | Equipment Parameter 3 | Equipment Parameter 4 | Equipment Parameter 5 | Equipment Parameter 6 | Equipment Parameter 7 |
| A | JKL-04 | ? | ? | JKL-04 | ???? | ??? | |
| B | ABC-01 | ||||||
| C | ??? | ? | ? | DEF-02 | |||
| D | ??? | ? | ???? | ||||
| E | ABC-03 | ? | ? | ||||
| F | ? | ??? | ???? | ? |
OUTPUT
| Equipment ID | Equipment Tag | Equipment Name |
1000 | ABC-01 | B |
| 1001 | DEF-02 | C |
| 1002 | ABC-03 | E |
| 1003 | JKL-04 | A |
The data in Table B is messy, I have used ? to represent random data. there could be duplicate tags, some cells are empty, others will have other numbers and letters
I tried using the 'lookupvalue' which worked well, but seems to only work with one column
I also tried merging the parameter columns and then doing a merge query with Table A equipment tag, but also was not very sucessful.
Any help would be great. thanks
Solved! Go to Solution.
Hi, @Hgoonetilleke
You can try the following methods.
Tbale B: Transform-Unpivot Other Columns
Then
Result:
Column:
Equipment Name =
CALCULATE ( MAX ( 'Table B'[Equipment Name] ),
FILTER ( 'Table B', [Value] = EARLIER ( 'Table A'[Equipment Tag] ) )
)
Is this the result you expect?
Best Regards,
Community Support Team _Charlotte
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi, @Hgoonetilleke
You can try the following methods.
Tbale B: Transform-Unpivot Other Columns
Then
Result:
Column:
Equipment Name =
CALCULATE ( MAX ( 'Table B'[Equipment Name] ),
FILTER ( 'Table B', [Value] = EARLIER ( 'Table A'[Equipment Tag] ) )
)
Is this the result you expect?
Best Regards,
Community Support Team _Charlotte
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Thank you
Unpivot the data in table B
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