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Hi,
I have a RAW Table like this:
RAW_Table
Code | Current_Phase |
AA1 | Phase 1 |
AA2 | Phase 3 |
AA3 | Phase 2 |
AA4 | Phase 5 |
BB1 | Phase 6 |
BB2 | Phase 6 |
CC1 | Phase 4 |
CC2 | Phase 1 |
CC3 | Phase 3 |
Each item identified by "Code" can go from Phase 1 to Phase 6. For example, an item that is at Phase 4, went to Phase 1, Phase 2 and Phase 3 before going to Phase 4. I want to show how many items have been in each phase, based on the Current Phase.
E.g.:
Table to be visualized:
Phase | Total |
Phase 1 | 9 |
Phase 2 | 7 |
Phase 3 | 6 |
Phase 4 | 4 |
Phase 5 | 3 |
Phase 6 | 2 |
FYI: I created another table (TableToOrder) for the custom sorter of Phases, to order them as I wanted (as in the reality, they have different names and I don't want to sort them alphabetically).
Thanks!
Solved! Go to Solution.
@giuco_82 Another approach is also to create a table with all phrases for the current phrase, and join it.
Join on Current Phase (M-M relationship)
Then you can just just All Phases and row count from main table.
Respectfully,
Zoe Douglas (DataZoe)
Follow me on LinkedIn at https://www.linkedin.com/in/zoedouglas-data
See my reports and blog at https://www.datazoepowerbi.com/
@giuco_82 Another approach is also to create a table with all phrases for the current phrase, and join it.
Join on Current Phase (M-M relationship)
Then you can just just All Phases and row count from main table.
Respectfully,
Zoe Douglas (DataZoe)
Follow me on LinkedIn at https://www.linkedin.com/in/zoedouglas-data
See my reports and blog at https://www.datazoepowerbi.com/
See if this works for you:
Cumulative Phases =
CALCULATE (
COUNTROWS ( 'Raw Table' ),
FILTER (
ALL ( 'Raw Table' ),
'Raw Table'[Current_Phase] >= MAX ( 'Raw Table'[Current_Phase] )
)
)
Proud to be a Super User!
Paul on Linkedin.
Hi Paul,
I solved the problem with DataZoe approach. I think my requirements weren't completely clear, so your solution wasn't satisfying my needs. But the DataZoe approach worked. Thanks!
What measure are you using? this is what I get:
Proud to be a Super User!
Paul on Linkedin.
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