Hi all, here's a problem which I faced during my analysis, really appreciate if I could have some help on it!
I have several record IDs with codes of respective values, for example:
| Record ID | Code | Values |
| 1 | a | 0.2 |
| 1 | b | 0.01 |
| 1 | c | 0.04 |
| 1 | d | 0.05 |
| 2 | a | 0.05 |
| 2 | b | 0.2 |
| 2 | c | 0.3 |
| 2 | d | 0.01 |
| 3 | a | 0.01 |
| 3 | b | 0.02 |
| 3 | c | 0.03 |
| 3 | d | 0.04 |
I want to achieve an output where Values >= 0.2 for each Record ID, and if the Record ID does not have such value present, only 1 record will appear with Values = Null(). Hence, there should not be any missing Record IDs.
Below is the sample output based on Values >= 0.2:
| Record ID | Code | Values |
| 1 | a | 0.2 |
| 2 | b | 0.2 |
| 2 | c | 0.3 |
| 3 | a | Null |
How do I go about doing this? Please advice thank you!
Solved! Go to Solution.
Hi @Eug_teng ,
Here is a workflow for the task.
Input - the table provided by you
Output

Workflow

Hope this helps : )
If this helps please mark the post as solution.
