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What I would like to do is identify the "Names" that are on "Table 2" that are also on "Table 1" that have "Visit Type A".
Please let me know if you need further clarifcation
| ID | Name | Visit Type | ID | Name | Calculated Column | |
| 1111 | Name A | Visit A | 1111 | Name A | Visit A | |
| 2222 | Name B | Visit C | 2222 | Name B | ||
| 3333 | Name C | Visit F | 3333 | Name C | ||
| 4444 | Name D | Visit A | 6666 | Name F | ||
| 9999 | Name X | |||||
| 3333 | Name C | Visit A |
Solved! Go to Solution.
Proud to be a Super User!
Thank you for the quick resposne. However i dont belive either of these are the solution i was looking for.
What i am trying to do with the calculated column is the following
1.) Check to see if an ID that is on Table 2 is on Table 1
2.) If there is a match, then check to see if that ID/Name had a specific Visit Type (Example: Visit Type A) on Table 1
3.) If they did then proceed to populate the calucalted colmun with "True" / "False" or "Visti Type"
Let me know if you have any questions or further explination
Proud to be a Super User!
YOu can add a Calculated column to Table2 that returns a TRUE or FALSE based on your requirements.
Column = IF(Table2[Calculated Column] = "Visit A" && CONTAINS(Table1, Table1[Name], Table2[ Name]), TRUE, FALSE) Results in the following table2:
Let me know if this helps!
Kind regards
Djerro123
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If this answered your question, please mark it as the Solution. This also helps others to find what they are looking for.
Keep those thumbs up coming! 🙂
Proud to be a Super User!
try column
Calculated Column =
LOOKUPVALUE(
'Table1'[Visit Type],
'Table1'[Name],[Name],
'Table1'[ID],[ID]
)do not hesitate to give a kudo to useful posts and mark solutions as solution
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